Dominic is fascinated by digital disruption, namely, how digital can be used to streamline and automate healthcare and the services provided, that means staff are supported to provide better care for patients. Any large-scale transformational changes need spread and adoption. This involves taking people on a journey as systems are changed but more importantly making them part of the decisions for change. Helping people become partners in their own health well being by using apps and other digital technologies in order for the prevention and management of their own health.

Dominic wants to facilitate digital innovation by bringing all the relevant people around the table, including digital experts as well as managers, staff and service users. This is so they can understand digital trends, the benefits of technology and the limitations, which is imperative when planning for change and how a range of connecting and converging digital health technologies are challenging existing service models.

As part of the digital transformation of health services, Dominic is interested in looking at "the uberisation of healthcare". What do projects like Google Deepmind and IBM Watson, Chatbot AI’s, Internet of Things etc have to offer for the underlying opportunity to rethink public health?

Read more - Stream 2, Session 1: A Greener NHS (with AI?)

Read more - Stream 3, Session 1 Chair: Regulation essentials

Professor Erika Denton is the National medical director for transformation at NHS England having previously been the National Clinical Director for Diagnostics at NHS England with responsibility for clinical leadership, advice and guidance across the NHS and covering all diagnostic services from 2013-2016.

From 2005-2013 Erika was National Clinical Lead, and subsequently National Clinical Director, for Imaging at DH leading a complex programme of work across all aspects of imaging including leading the national PACS Programme.

Professor Denton is a consultant radiologist and Medical Director in Norwich. She publishes and speaks widely on health care policy related to diagnostics.

Erika did her medical training at St Thomas’ Hospital, London and then spent 4 years in general medical training before radiology training in London. She was a consultant radiologist at Kings College Hospital in London before she moved to Norfolk in 1999.

Read more - Day 1 Opening Remarks and Chair
Read more - Stream 4, Session 2: What's next for NHS AI investment
Read more - Day 1 at 13:30 Meet and greet at the RCR stand in the exhibition area
Read more - Day 1 at 16:30 Abtract winner awards presentations
Read more - Day 1 Keynote panel discussion: AI integration in the modern NHS
Read more - Day 2 Opening Remarks and Chair
Read more - Day 2 at 13:30 Meet and greet at the RCR stand in the exhibition area
Read more - Day 2 Closing keynote lecture

After completing her radiology training in London, Australia, Sheffield and Nottingham, Dr Halliday was appointed as a Consultant Paediatric Radiologist at Nottingham University Hospital in 1998. She has a special interest in the imaging of suspected physical abuse and provides expert opinions for cases throughout the UK. She was Chair of the British Society of Paediatric Radiology from 2010-2016 and chaired the working group for the updated guidance for imaging in cases of suspected physical abuse in children.

In September 2017, Dr Halliday was appointed National Clinical Lead for the Getting It Right First Time (GIRFT) programme for Radiology, and the Radiology GIRFT report was published in July 2020. Dr Halliday took over as Clinical Director for Radiology at Nottingham University Hospitals in January 2021. In September 2022, Dr Katharine Halliday became the President of The Royal College of Radiologists.

Pranav Rajpurkar is an Assistant Professor at Harvard University in the Department of Biomedical Informatics and co-founder of a2z Radiology AI. His research focuses on advancing artificial intelligence to transform medicine by developing systems capable of interpreting medical data, reasoning through complex problems, and communicating at an expert level. His work aims to create AI-powered medical tools that can operate independently or collaborate with human physicians, ensuring global access to high-quality, timely care.
 
He has authored over 100 academic articles with more than 25,000 citations, publishing in top journals such as Nature, NEJM, and Nature Medicine. His research has been featured in media outlets including NPR, The Washington Post, and Wired. Notable recognitions include being named to Forbes' 30 Under 30 in Science (2022), MIT Tech Review’s Innovator Under 35 (2023), and receiving the Google Research Scholar Award. Before joining Harvard in 2021, he earned B.S., M.S., and Ph.D. degrees in Computer Science from Stanford University.
 
Pranav team has made key contributions, including developing expert-level medical AI algorithms, such as a cardiology-level heart rhythm detection system with FDA clearance and CheXzero, which diagnoses chest X-rays using natural language reports. His team also curates essential datasets like CheXpert for imaging and SQuAD for natural language processing, advancing deep learning and generalisation research. Additionally, they are pioneering Generalist Medical AI systems capable of multi-modal reasoning, decision-making, and natural language communication, including AI-assisted radiology reporting tools.
 
Beyond research, Pranav  leads initiatives such as the Medical AI Bootcamp for mentored research at the AI-medicine intersection and the Harvard course CS197: AI Research Experiences. He co-created the AI4M MOOC on Coursera, reaching over 60,000 learners worldwide. His outreach efforts include co-founding the Doctor Penguin newsletter and the AI Health Podcast, connecting thousands of readers and listeners to cutting-edge medical AI developments.

Professor Owen Arthurs will lead the AI Conference Programme Committee as Chair to work closely with a multidisciplinary group of professionals and experts to develop and deliver our programme at our inaugural AI Conference in February 2025.

Professor Arthurs is a Consultant Paediatric Radiologist at Great Ormond Street Hospital (GOSH) who leads Computer Vision AI for GOSH, and Innovation & Research for Radiology. He is also Professor of Radiology at UCL Great Ormond Street Institute for Child Health (UCL GOS ICH) and is widely recognised as one of the world’s leading clinical researchers in children’s imaging. He has held several senior NIHR fellowships and is best known for developing the UK's leading paediatric postmortem clinical imaging service, and his work as an expert witness for imaging in child abuse for the UK courts.

Read more: Stream 2, Session 5: Multi-omics and the future

Javier is an experienced leader and innovator with a passion for delivering AI solutions. He loves working as a team and learning from others and his joy is to create world wide scalable solutions in big impact and ambition projects.

Read more - Stream 3, Session 3: Synthetic data

Anmol Arora is an Academic Clinical Fellow at University College London and Honorary Researcher at the University of Cambridge. His research revolves around the use of artificial intelligence and machine learning in healthcare, with a specific focus on the use of synthetic data as a privacy preserving technology.

He holds honorary research affiliations with NHS England and Improvement and Moorfields Eye Hospital. As an Honorary Analyst within the central NHS Data and Analytics team, Anmol led novel machine learning analysis of national mental health data working with senior NHS management.

He is Co-Chair of the Health Data Research UK Impact Committee and has advised synthetic data legislation in the United States.

Read more - Stream 3, Session 5 Chair: Health economics

Dr Anna Barnes FIPEM trained in medical physics in Glasgow and became a Clinical Scientist in 1999 after completing her training in Biomedical Engineering and Equipment Management and a PhD in advanced Neuroimaging in neurology and psychiatry.

She continued her career in advanced neuroimaging; first 2 years at the Institute of Neurology in Glasgow, 2 years at New York University PET imaging centre for movement disorders, 1 year at GE Healthcare radiopharmaceutical development team, 2 years at Columbia University NY in the fMRI psychology lab and 5 years at University of Cambridge Brain Mapping Unit developing imaging biomarkers for psychiatry applications.

In 2012 she took up an NHS post at UCLH as the Lead Clinical Scientist tasked to introduce the novel combined PET and MRI scanner in the newly built UCH Macmillan Cancer Centre. During this time she also represented the Institute of Physics and Engineering in Medicine as their VP for external relations 2013/16, and most recently president elect 2023/25, and has held 2 NIHR senior fellowships.

In 2020 Anna represented the Medical Physics Imaging workforce for IPEM by serving on the National Imaging Optimisation Delivery Board – part of the Transforming Imaging Services initiative – during the CoViD-19 pandemic for which she was awarded the President’s Gold Medal for services to IPEM.

She was the Regional Chief Healthcare Scientist for all the SE region for NHS-England and Improvement 2020/22 and is currently the director of King’s College Technology Evaluation working predominantly on evaluation of AI enabled digital health technologies for NICE and NHS-England.

Read more - Stream 4, Session 4: Stroke showcase

Darrien Bold, based in London, GB, is currently a Head of Elective Care at NHS England. Darrien brings experience from previous roles at NHS England and Homerton University Hospital Foundation Trust. Darrien Bold holds a 2021 - 2022 PgDip in Digital Health Leadership at Imperial College London. With a robust skill set that includes Healthcare, Service Re-design, Performance Management, Change Management, Operations Management and more.

Tom is a Reader in Neuroimaging at King’s College London and an Honorary Consultant Neuroradiologist at King’s College Hospital. His research focuses on AI-driven neuro-oncology and abnormality detection in diagnostic imaging, and neurovascular robotics. His PhD at the University of Cambridge focused on brain tumor treatment response, a subject he continues to explore. Tom leads multiple UK multicentre studies, including a large AI-driven project on brain MRI abnormality detection. He sits on national and international committees and has received the Royal College of Radiologists' Outstanding Researcher Award. 

Read more - Stream 1, Session 1: Using AI in education and training 

Read more - Stream 1, Session 2 Chair: Training in AI

Read more - Stream 1, Session 4 Chair: Approvals

Dr Rhidian Bramley specialises in Oncological Imaging, Healthcare Management and Informatics and currently works as a Consultant Radiologist at the Christie NHS Trust, as Clinical Lead for Diagnostics, Digital and Innovation for the Greater Manchester Cancer Alliance, and as Clinical Lead for the Greater Manchester PACS programme.

As a former Associate Medical Director, Clinical Director of Radiology and Chief Clinical Information Officer (CCIO) at the Christie, and National Clinical Advisor for PACS in the National programme for IT, Connecting for Health and NHS England, and advisor to the national NHS Wales Informatics Service and Digital Healthcare Wales.

Read more - Stream 3, Session 5: Evaluation of NHS AI lab programme

Kathrin Cresswell is a social scientist specializing in evaluating digital health transformation. She has consulted for the World Health Organization, Harvard Medical School, and NHS England, and is a Fellow of the International Academy of Health Sciences Informatics. A Senior Lecturer at the University of Edinburgh’s Usher Institute, she leads a Scottish national digital health leadership program and has taught over 450 health IT leaders globally.

With over 140 peer-reviewed publications and £56 million in research funding, Kathrin has extensively studied technologies such as electronic health records, AI, health apps, and robotics. She excels in formative evaluations across health settings, focusing on aligning diverse stakeholder interests to enable safe and scalable digital health solutions.

Dr Geraldine Dean is a consultant radiologist within the NHS, where she also serves as the Chair and AI Lead for NHS Southwest London AI Group.

Dr Dean is Head of Clinical Strategy and AI Implementation at TMC UK and serves as an AI Advisor at the AI Centre of Excellence at Unilabs.

Read more: Stream 3, Session 1: EU AI Act - when to start panicking?

Regulatory, Quality and Information Security expert in the field of medical devices.

Read more - Stream 2, Session 3: Should we use AI in LMICs?

Professor Manjit Dosanjh joined the Department of Physics at the University of Oxford in 2019 as visiting professor. Her pioneering work to apply physics to the medical domain is changing the field in cancer treatment and she is passionate about the power of STEM to change people’s lives.

As well as taking up a visiting professorship in the Department of Physics in 2019, she was, until recently, Senior Adviser for Medical Applications at CERN where she worked for 21 years and where she continues to collaborate. She is a long-term member of the NGO Committee on the Status of Women, Geneva and served as the UN representative in Geneva for the NGO Graduate Women International for 15 years. Incarnating the power of collaboration, Manjit is a self-titled ‘bridge builder’ – summed up if nothing else by that fact that as a biochemist, she worked in the world’s largest particle physics experiment and today holds a position in a physics department.

Collaboration and bridging underpin her work. She is a leading figure in the medical applications of physics in the field of cancer and has spent much of her career studying mechanisms of cancer resulting from environmental exposure including radiation damage. She was instrumental in the application of technologies developed at CERN in the medical field, in particular imaging for disease detection, accelerators for use in nuclear medicine and cancer therapy as well as the use of computing and information communication technologies for big biomedical data and personalised medicine. One of her major successes was the promotion and implementation of the Proton-Ion Medical Machine Study (PIMMS), carried out at CERN, by establishing a multidisciplinary European network, which catalysed the construction of state-of-the-art cancer centres where hadrons are currently being used in cancer treatment.   

Read more - Stream 2, Session 1: Greener training of ML algorithms

Since January 2022, John Edwards has served as the sixth UK Information Commissioner. Before this, he served as New Zealand’s Privacy Commissioner for eight years, building an international reputation in data protection and privacy, including chairing the now Global Privacy Assembly. He also worked in a range of roles including as a policy advisor to the NZ Government, a lawyer for over 20 years in the public and private sector, and even had a stint as a mountaineer.

John's vision and mission is for the ICO to be a regulator that empowers people to share information for personal and public benefit, and for organisations to use information to invest and innovate in the digital economy safely.

As a whole economy regulator, John’s laser focussed on delivering better, quicker and impactful regulatory interventions in AI and biometrics, children’s privacy and AdTech and online tracking.

John’s motto: “We spend once at the centre prompting savings for thousands of businesses across the economy.”

Chris Fleming is Public Digital’s health and care sector lead.

Chris helps healthcare organisations use digital technologies and ways of working to better achieve their potential, elevating their digital products and services, and delivering better value for their service users and customers.

His deep experience of research, design, and development of digital services alongside wider organisational and operating model transformation enables him to support leaders in setting the right conditions for successful digitally enabled change. He works with organisations to understand their team's maturity and capability, and supports them on their journey to high performance.

Chris works extensively with the NHS, including supporting NHS England in the development of a new operating model, and of its integrated care boards. He provides digital leadership coaching on the NHS Providers Digital Boards Programme, coaching the executive leadership teams of NHS trusts in how to create the conditions for digital transformation. As such, Chris has an expert understanding of what NHS clients need to enable them to thrive in a highly networked, digitally enabled world.

Alongside his work with the NHS, Chris has also supported clients in local authorities, the private and charity sectors, including leading pharmaceutical companies or national scale charities providing key services such as addiction support.

Prior to joining Public Digital, Chris led product and delivery for a number of national platforms for the NHS including the NHS App, 111 online and the NHS’s vaccine trials registry, He also supported the UK government to build its data science capability.

Read more - Stream 1, Session 4: To be announced

Read more - Stream 2, Session 5: Who will bring this together?

Colin Fleming is a Consultant Dermatologist, Mohs’ Surgeon, Honorary Professor of Dermatology and is based at Ninewells Hospital and Medical School, Dundee. He has been a Consultant in Dundee since 1999 and has set up multiple services for skin cancer patients, including the NOSCAN Macmillan Mohs service.

He leads a triple helix research team developing novel approaches to diagnostic skin AI. He is NHS Tayside Director of Innovation, Co-director of the Tayside Innovation MedTech Ecosystem (TIME) and research lead of the NHS Scotland AI skin cancer consortium.

Dr Sameer Gangoli is a Consultant Radiologist with clinical, research and teaching interests in head and neck, GU, oncological imaging, nuclear medicine and PET-CT. He initiated the AI Innovation Project at University Hospitals Sussex where he is the Clinical and Governance Lead for AI. He is an Advisory Editor for AI for the journal Clinical Radiology, a member of the Clinical Radiology AI Faculty at the Royal College of Radiologists, a founding member of the Radiology Special Interest Group at the National AI Diagnostics Forum, and a supervisor for the London Clinical AI Fellowship.

Read more - Stream 3, Session 6 Chair: Data security

Professor Gilbert, Department of Radiology, University of Cambridge, is focused on imaging techniques relating to breast cancer and oncology. She works in Addenbrookes Hospital and is part of the Cambridge Breast Unit which delivers screening to Cambridge and Huntingdon. She evaluates new imaging technology and is currently working on Artificial Intelligence in Imaging to detect cancer, biomarkers to predict cancer and response to neoadjuvant therapy, novel imaging techniques such as sodium imaging with MRI and assessing different imaging tools to detect cancer in women with dense breasts. 

Fiona is a regular speaker at international radiology conferences in Chicago and Vienna and was awarded Honorary membership of the Radiological Society of North America in 2019, Honorary fellowship of the American College of Radiologists, the Gold Medal from the European Society of Radiology and fellowship of the Royal Society of Edinburgh in 2021 and fellowship of the Academy of Medical Sciences. She is immediate past President of the European Society of Breast Imaging. She is the Lead advisor for AI for the Royal College of Radiologists. 

She has sat on a number of committees and funding Boards and is on a number of advisory panels. She is a director of NASCIT. Previous appointments have been a Board member of the Royal Scottish National Orchestra, Governor of Robert Gordons College and vice chairman of the Beatson cancer charity. 

Read more - Stream 2, Session 5: From remote monitoring, to adoption and governance of AI including Safety Critical, and ethics - in Rolls-Royce

Lee created the Civil Aerospace Digital Governance System, and the Rolls-Royce framework for Governing AI Ethics and Trustworthiness – including collaborating with the Trades Unions. This is released publicly, trade marked as the Aletheia Framework™ which also includes a tool for identifying, assessing and mitigating AI Bias. He developed this further to a complete assurance process for fully autonomous Safety Critical AI. He is also currently supporting a team to create a compliant environment to enable safe, widespread use of LLMs, and Generative AI.

Lee frequently presents to, and meets with, government officials and regulators regarding the development of Digital and AI governance.

Read more - Stream 3, Session 5: How can national roll-out of e.g. fracture detection AI save the NHS? 

Lucy holds a first-class degree in BSc Economics and an MSc in International Health Policy (Health Economics) from The London School of Economics with a special interest in healthtech.

Read more - Stream 1, Session 1: Starting out in AI research

Read more: Stream 1, Session 3 Chair: Guidelines

Professor Mark Halling-Brown is a consultant clinical scientist who runs a Scientific Computing team (SciCom) at the Royal Surrey NHS Foundation Trust. His background is in bioinformatics, computational immunology, and computer sciences. More recently he has worked in Medical Physics, focussing on the safe development and adoption of healthcare software. His team lead or participate in over 28 research projects and databases covering a variety of areas of healthcare research. 

The SciCom team have considerable experience in development, validation and deployment of software tools and techniques across the NHS. The team works extensively with industry to provide data for training and independent validation of AI products and supports deployment of commercial tools into UK screening services. The best example of datasets the team have developed is the OPTIMAM project, one of the world’s largest mammography image databases and has led to involvement in development of AI techniques to automate breast cancer detection and to estimate future cancer risk. The database has over 8.5 million images and is continuing to grow into a world class tool for stimulating research.

They are experienced in large-scale image/data collection, storage and sharing of research data. The current focus of his team's work is on the provisions of correct datasets for training and independent validation of AI tools for healthcare as well as the safe adoption and integration into healthcare settings. They are active in developing techniques and approaches required to establish TREs suitable and able to support deep-learning training and validation at scale.

Professor Sam Hare is a Consultant Cardiothoracic Radiologist and Chief Executive Officer of the HLH Imaging Group. He is a Professor of Thoracic Radiology and past NHS England National Specialty Advisor for Imaging. Sam is passionate about lung cancer screening and has won several industry awards for chest radiology, including the inaugural NHS Innovation Challenge Prize for Cancer and BMJ Cancer Team of the Year. Sam is frequently featured in national media, and he pioneered ambulatory lung biopsy in the UK. He has specialist expertise in lung cancer screening, lung nodules, and complex lung biopsy.

David is a practicing consultant stroke physician and the National Clinical Director for stroke Medicine for NHSE, he has also been the National Clinical Lead for Getting it Right First Time (GIRFT) and has met all acute stroke teams in England, co-writing the GIRFT national stroke report, with 29 recommendations which was published in 2022.

He co-produced and published in 21/22 the National Stroke Service Model (NSSM), Integrated Community Stroke Service Model (ICSSM) and the National Optimal Stroke Imaging Pathway (NOSIP), which incorporates the use of Artificial Intelligence software as a decision support aid and is now in place in all of the acute stroke centres in England.

He co-chairs national Thrombectomy Implementation Group (TIG) for NHSE and led a national review of access and provision of Mechanical Thrombectomy in England, report published Oct 2023 and is joining the National Medical Director’s visits to all Comprehensive Stroke Centres in England this year. He has introduced Prehospital Stroke Video Triage (Stroke PVT) to the NHS with a third of the population now having access to specialist stroke assessments in the back of an ambulance, demonstrating a reduction in patients need for transfer to secondary care and improvements in acute stroke care once then arrive.

Read more - Stream 3, Session 1: Coming to America - FDA tips and tricks

Dr Harvey is an ex-NHS consultant radiologist and academic, trained at the Institute of Cancer Research, twice awarded ICR Science Writer of the Year.

He is a prior member of the RCRs informatics and AI committees, a lifetime Fellow of the Royal College of Radiologists and is an honorary fellow of the British Institute of Radiology. He also holds an honorary academic position at the University of Birmingham. He acted as co-chair to the UK Topol Health Technology Review for Health Education England, and is an advisor to the Medicines & Healthcare products Regulatory Agency.

After leaving NHS medicine and academia he worked at Babylon Health where he gained world-first regulatory approval for an AI-enabled chatbot, and then became medical director at Kheron Medical gaining EU-first CE marking for a Class IIb breast cancer screening AI software. He is globally regarded as a top clinical regulatory expert for software and AI devices.

Managing Director at Hardian Health since 2018, he has built a specialist global consultancy focussed on software as a medical device regulatory, clinical, health economics, market strategy and intellectual property services.

I am a board-certified radiologist at the University Hospital in Tübingen, Germany.   I am a board member of the working group on information technology within the German Radiological Society, with which we have developed this certification to address the increasing demand for AI expertise in radiology.   My research is primarily centered on the application of artificial intelligence in MRI image reconstruction and its implications for the sustainability of MRI examinations.

Read more - Stream 4, Session 1 Chair: Upskilling the workforce

Dr Jena is an academic clinical oncologist at the University of Cambridge Department of Oncology, and leads a data science and machine learning team as part of the Cancer Research UK funded RadNet Cambridge radiation research programme.

He has an extensive history of computational modelling and image processing, including 5 years working as a clinical consultant at Microsoft Research Cambridge. He has experience developing open source AI solutions to medical device standards in a hospital setting and is chief investigator of the Hamlet.rt study, a multicentre AI study in radiotherapy toxicity recruiting at 13 centres across the UK.

Dr Jena is also director of the NIHR Oncology Translational Research Collaboration (O-TRC), leading research collaborations across the biomedical research centres which have a cancer theme.

Read more: Stream 3, Session 2 Chair: Post market surveillance

Professor Johnson is a consultant musculoskeletal radiologist working in professional sports with international athletes and clubs including within Formula 1, the Premier League, Championship football, Lawn Tennis Association, British Olympic team, British Athletics, British Triathlon, international rugby and cricket, and the Royal Ballet.

She works at the Fortius Clinic, London which is a FIFA Medical Centre of Excellence, and has a wide breadth of experience also having worked at the University of Toronto Hospitals, and Oxford University Hospitals. She is the Chair and Clinical Lead of the Royal College of Radiologists Learning, and a member of the NIHR Imaging Working group with an interest in Artificial Intelligence. 

Read more: Stream 3, Session 2: Transparency and bias

Dr Adi Kale is a Radiologist, NIHR Academic Clinical Fellow, and Doctoral Researcher based in the West Midlands. His primary research area is the evaluation and regulation of AIaMD, including evidence generation and post-market surveillance. Working with Associate Professor Xiao Liu and Professor Alastair Denniston, Dr. Kale aims to understand how AIaMD safety monitoring should be implemented in real-world clinical settings.

He has collaborated with regulators such as the Care Quality Commission (CQC) on AI safety monitoring and incident reporting, and has previously contributed to the Medicines and Healthcare products Regulatory Agency (MHRA) Software Group, informing regulation and policy. Dr. Kale is also actively involved in educational programmes including supervising AI fellows and leading an annual AI regulation and evaluation workshop for the NHS Fellowship in Clinical AI.

Read more - Stream 1, Session 6: Use of Foundation Models in healthcare AI

Read more: Stream 2, Session 4: Developing ethical pipelines

Pearse Keane is Professor of Artificial Medical Intelligence at UCL Institute of Ophthalmology, and a consultant ophthalmologist at Moorfields Eye Hospital NHS Foundation Trust. He is also Director of the INSIGHT health data research hub programme based at Moorfields Eye Hospital.

Since 2020, Pearse has been funded by UK Research and Innovation (UKRI) as a Future Leaders Fellow, and in 2023 he became a National Institute for Health Research (NIHR) Senior Investigator. He is originally from Ireland and received his medical degree from University College Dublin (UCD), graduating in 2002.

In 2016, he initiated a collaboration between Moorfields Eye Hospital and Google DeepMind, with the aim of developing artificial intelligence (AI) algorithms for the earlier detection and treatment of retinal disease. In August 2018, the first results of this collaboration were published in the journal, Nature Medicine.

In October 2019, he was included on the Evening Standard Progress1000 list of most influential Londoners (https://www.standard.co.uk/news/the1000) and in June 2020, he was profiled in The Economist (https://www.economist.com/technology-quarterly/2020/06/11/the-potential-and-the-pitfalls-of-medical-ai).

In May 2020, he jointly led work, again published in Nature Medicine, to develop an early warning system for age-related macular degeneration (AMD), by far the commonest cause of blindness in many countries. In 2023, he led the development of RETFound, the first foundation model in ophthalmology, published in Nature and made available open source.

In 2022, he was listed in the “Top 10” of the “The Power List” by The Ophthalmologist magazine, a ranking of the Top 100 most influential people in the world of ophthalmology https://theophthalmologist.com/power-list/2022.

Stream 2, Session 6 Chair

Dr Anne Kinderlerer is committed to working with others to support and extend the benefits of digital technology within the NHS, something which has been the focus of her clinical leadership for much of the last decade.
She has extensive clinical knowledge in acute and specialist care, alongside experience of working across the wider sector and nationally to improve pathways of care. 

As a graduate of the Flow Coaching Academy, Dr Kinderlerer is committed to improvement methods underpinned by a coaching approach that has allowed us to collaboratively build digital systems that are proven to save lives. 

Safe patient care depends on systems that support it, and Anne is passionate about building electronic systems that drive improvements that are inherent in the processes of care, making it easy for clinicians to do the right thing.

Read more - Stream 1, Session 1 Chair: How to get started 

Read more - Stream 1, Session 5: AIDF successful team building - at Imaging network level

Amrita has been recently named 2022 Top 50 Innovator and 2023 Top 60 Influential Woman in the UK for leading innovation in the use of AI within the NHS. She was appointed as a substantive Consultant Radiologist at Frimley Health in 2013 with a subspecialist interest in breast cancer screening. She has a keen interest in Artificial Intelligence and has set up trust wide research collaboration to implement a digital enabled AI infrastructure, as well as implement novel AI software for improved detection of breast and lung cancer.

Ultimately, her aim is to have a positive social impact on cancer screening within the NHS integrated with AI, working in conjunction with various stakeholders with a mission statement of patient and value-focused healthcare. She has also been appointed Chair at the British Institute of Radiology National Clinical Intelligence & Informatics Committee to look at the national integration and implementation of AI into clinical practice.

David B. Larson, MD, MBA, is Professor of Radiology (Pediatric Radiology) and Executive Vice Chair in the Department of Radiology at Stanford University. He also serves as the Associate Chief Quality Officer for Improvement for Stanford Health Care, overseeing improvement training programs at SHC. Dr. Larson is a national thought leader in radiology quality improvement and patient safety, and a regular speaker regarding topics ranging from pediatric CT radiation dose optimization to radiology peer learning. He is the founder of Stanford’s Realizing Improvement through Team Empowerment (RITE) program and co-founder of the Clinical Effectiveness Leadership Training (CELT) program, continuing to serve as co-executive director of both programs. He also founded and leads the Stanford Medicine Improvement Capability Development Program (ICDP) and the Advanced Course in Improvement Science (ACIS).

Dr. Larson is the founder and program chair for the annual Radiology Improvement Summit held annually at Stanford, which began in 2015. He currently serves on the Board of Trustees of the American Board of Radiology, overseeing quality and safety, and on the Board of Chancellors for the American College of Radiology as the chair of the ACR's Commission on Quality and Safety. He also founded and leads the ACR Learning Network, which was launched in 2021.

Prior to his position at Stanford, Dr. Larson was the Janet L. Strife Chair for Quality and Safety in Radiology and a faculty member of the James M. Anderson Center for Health Systems Excellence at Cincinnati Children’s Hospital in Cincinnati, Ohio. He holds MD and MBA degrees from Yale University and completed his training at the University of Colorado Health Sciences Center in Denver, Colorado. Dr. Larson is a pediatric radiologist at Lucile Packard Children's Hospital at Stanford. 

Read more - Stream 1, Session 5 Chair

Dr Leary has extensive experience in healthcare and the application of technology to services including leading on the delivery of evidence-based innovation, initiating and leading multi-centre collaboration, developing and advising on healthcare innovation strategy and direct patient care as a doctor.  He is a former Innovation Fellow at the University of Oxford.

In his role as the AI Manager at the Royal College of Radiologists he oversees and advises on various AI work the College is undertaking.  This includes working with the RCR AI Advisory Committees for both Clinical Radiology and Clinical Oncology, aiming to provide domain experts the means to influence the development of AI being applied to their specialities.

The Royal College of Radiologists endeavours to engage the government and the National Health Service, advocating on behalf of our members and Fellows.  Additionally, Dr Leary together with RCR Officers, collaborates with other healthcare organisations and interacts with industry, to promote safe, evidenced-based advances to complement the work of our membership and for the benefit of patients and the wider NHS.

Dr Gerald Lip is the Clinical Director of Breast Screening in the North East of Scotland and the Lead of the Gemini study supported by the NHS Health and Social Care Award investigating the prospective use of AI in mammography.

He has published multiple papers, articles and chapters particularly on AI and has spoken at a range of medical and technology related conferences ranging from RSNA in Chicago to Cog X in London along with organising medical conferences such as the BIR AI annual congress for the past 5 years. He has been awarded a funded two-year Innovation Fellowship by the Chief Scientists of Scotland from 2023-2025.

He is the vice chair of the British Society of Breast Radiology, sits on the Royal College of Radiology Informatics committee, on the Advisory Board of the Centre for Doctoral Training for Biomedical AI in Edinburgh University, the British Institute of Radiology AI special interest group and is a scientific advised to the National Covid Chest Imaging Database.

A graduate of Trinity College Medicine, along with his medical degree he also qualified with an Msc. in Health Informatics and completed his radiology training in Aberdeen where is also an honorary senior clinical lecturer in the University of Aberdeen.

Read more: Stream 3, Session 3: STANDING together

Dr Xiaoxuan (Xiao, pronounced "Shau") Liu is an Associate Professor in AI and Digital Health Technologies and an Honorary Clinician Scientist at the University of Birmingham and University Hospitals Birmingham NHS Foundation Trust. She is the AI theme lead for the Birmingham Health Partners Centre for Regulatory Science and Innovation.

Dr Liu was appointed a 125th Anniversary Fellow at the University of Birmingham in August 2024 following her significant number of contributions to reports on AI and health policy. Before this, she was an ophthalmology doctor in the NHS and a Health Scientist at Apple.

Dr Liu and Professor Alastair Denniston co-lead the AI & Digital Health Group, a research and policy group focused on responsible innovation of AI health technologies. The group’s work seeks to ensure AI technologies are safe, effective and equitable, and benefits patients and society. The group’s work includes:

 - Improving scientific standards - developing internationally adopted reporting guidelines for clinical trials of AI health technologies: SPIRIT-AI and CONSORT-AI; and contributing to other AI reporting standards including TRIPOD+AI, STARD-AI, and DECIDE-AI.

- Improving evidence - building evidence standards for digital health technologies for NICE (DHT-ESF), in collaboration with Imperial College London and the Alan Turing Institute.

- Improving safety - developing tools for assessing safety of AI-enabled medical devices: the medical algorithmic audit, and through working directly with medical device regulators such as the MHRA.

- Improving diversity and representation within the data used in AI - tackling bias in health datasets to mitigate AI-driven health inequalities through STANDING Together.

The group works in collaboration with academic, industry and policy institutions around the world, bringing diverse and interdisciplinary teams together to build best practices that can be translated internationally.

Stream 1, Session 5: Building your team

Christina is the Director of the CRRAG research group at City, St George's University of London (https://www.city.ac.uk/research/centres/research-radiographer-group-crrag/_nocache) and is an Adjunct Professor of Radiography at University College Cork in Ireland. She is a widely published researcher in medical imaging (h-index 25, 90 publications, 6 standards, 6 scientific reports), with more than £3.25 million in research grants in her name as PI and Co-I and an enthusiastic educator. Her area of research revolves around AI adoption, governance and education in radiography, person centred care, patient safety and workforce development. Christina has served as the chair of the AI advisory group of the SCoR (2020-23) and as the Chair of research for the EFRS (2023-25). She worked as NIHR imaging science working group member and is an elected member of the EuSomII Board. She is an associate editor with JMIRS and a regular reviewer for Radiography. She has a strong multidisciplinary network of collaborators in academia, industry, policy and clinical practice in the UK and globally, having worked in the field of Medical Imaging for more than 25 years. Her educational initiatives and research projects have received many awards in the UK and beyond. Christina believes in leading from the heart and in the power (and fun) of collaborative work

Read more - Stream 3, Session 4: RACOON and OMI Platform

We are pleased to announce that Professor Dr. Matthias May has been appointed Section Editor-in-Chief of the Section “Genitourinary Oncology” in Current Oncology (ISSN: 1718-7729). Professor Dr. Matthias May, born in Berlin (Germany), is a Professor of Urology at St. Elisabeth Hospital Straubing (Bavaria, Germany).

Additionally, he holds a teaching position at the Department of Urology, University of Regensburg (Bavaria, Germany). His primary professional focus is operative urologic oncology surgery, including robot-assisted procedures. He maintains a broad scientific interest in urology, particularly in developing prognostic prediction models (including biomarker-based) for various urologic cancers across diverse clinical settings.

In recent years, his research has increasingly focused on translational projects involving penile, prostate, and bladder cancer. Prof. Dr. May has secured multiple grants for his research endeavors and has initiated/founded more than 30 multicenter studies. He has authored over 250 peer-reviewed articles, serving as the first or senior author for most of them. Presently, his h-index stands at 39, with 5,802 citations to his work (i10-index: 137).

Ernest holds a degree in Biomedical Engineering from the Polytechnic University of Catalonia and an MSc in Electronics and Communications from the Polytechnic University of Poznan. He has over 10 years of experience in the medical devices and AI industry, focusing on data science and team management. Passionate about diving deep into data and experimentation, he is currently the Lead AI Engineer at the AI Centre of Excellence at Unilabs overseeing the deployment of multiple solutions, experimenting with LLMs and focusing on monitoring and PMS.

Read more - Stream 2, Session 3: Healthcare models and AI accessibility

Dr Ana Luisa Neves is a Clinical Senior Lecturer in Digital Health and Director of the Global Digital Health Unit (GDHU), a research hub for innovation and entrepreneurship in health care. The mission of the Global Digital Health Unit is to develop innovative, evidence-based solutions for delivering healthcare and health promotion, and for supporting public health research in collaboration with local, national and international initiatives.

Dr Ana Luisa Neves leads a team of doctoral and postdoctoral researchers conducting research in digital health. She has more than 15 years of research experience, and >40 papers published in peer-reviewed journals (>3,000 citations), using both qualitative and quantitative methodologies.

Dr Ana Luisa Neves is currently Chair of the Working Party on eHealth of the World Organisation of General Practice, and an elected member of the Executive Board of the European General Practice Research Network.

After qualifying in Medicine and completing specialist training in General Practice, Ana has worked as a medical doctor in both high- and low-income countries. She undertook academic and research placements at Institut National de la Santé et Recherche Médicale (Paris) and at Cambridge Health Alliance/Harvard Medical School Affiliate (Boston), before obtaining her PhD in Clinical Medicine at Imperial College London (2018). Between 2017-2023, Ana took a variety of research roles at the Institute of Global Health Innovation at Imperial, the latest being as Associate Director / Advanced Research Fellow at the Imperial NIHR Patient Safety Translational Research (PSTRC). As part of this role, Ana also oversaw the academic support to the WHO Global Patient Safety Collaborative, a multi-national consortium designed to strengthen leadership, capacity building and research development in low and middle-income countries. 

In what concerns teaching activities, she is the Module Lead for Digital Health in the Masters Public Health and Global Master of Public Health at Imperial College London. Ana is also Module Lead (Health Data Collection and Principles of Health Data Science) at the PhD Programme in Health Data Science at University of Porto, where she holds an invited post as Assistant Professor.

Dr Tracy O’Regan worked as a diagnostic radiographer in the NHS for 23 years prior to commencing her role of professional officer for clinical imaging and research at the society and college of radiographers (SCoR). Tracy represents her organisation on a range of multidisciplinary working parties and supports SCoR advisory groups and networks related to digital, informatics and artificial intelligence. She has a keen interest in the clinical uses of emerging technologies, serves as a steering committee member for the Science and Technology Facilities Council Early Cancer Diagnosis + Network, and champions SCoR work to reduce inequalities in health.

Read more - Stream 3, Session 4: How is AI reimbursed in South Korea?

Read more: Stream 4, Session 5: The Korean perspective – reimbursement and regulation

Read more - Stream 1, Session 4: Ensuring clinical safety in AI in NHS

Kevin Percival is the Chief Nursing information Officer at Ashford and St. Peters Hospitals NHS Foundation Trust which is a multi-site Acute, Elective and Community Rehab Provider of general and specialist services just outside of London.

Kevin provides leadership for digital transformation across the trust; prior to joining Ashford and St. Peters Kevin was the Chief Nursing Information Officer at Frimley Health NHS Foundation Trust where he had a strong track record for consistent delivery of large transformational changes across Health and Social Care that achieves the quadruple aim of improving Quality, Safety, Efficiency and Experience for staff and patients.

Dr. Graham Robinson is a Consultant Radiologist and Chief Operating Officer of the HLH Imaging Group. He is past President of the British Society of Thoracic Imaging and previous NHS England's Clinical Lead for Digital and IT Transformation. He was also President of the Radiology Council at the Royal Society of Medicine. He has a particular interest in imaging informatics.

Read more - Stream 2, Session 1: Sustainable AI for radiology: Innovations for a better tomorrow

Read more - Stream 3, Session 4 Chair

Andrea Rockall is Clinical Chair of Radiology, Imperial College London and Hon Consultant Radiologist at Imperial College Healthcare NHS Trust and at The Royal Marsden Hospital. Following graduation from King’s College Hospital, London in 1990 she trained in radiology at St Mary’s Hospital and University College Hospital, London.  She was awarded the Rohan Williams Medal (Gold Medal) for the FRCR examination. In 2000, she was appointed as Senior Lecturer in Diagnostic Imaging at Queen Mary University London and Honorary Consultant Radiologist at Barts and The London NHS Trust and has worked at both Imperial and Royal Marsden Hospital since 2012, prior to her current appointment.
 
Her special interests are in genitourinary cancer, image-based clinical trials, functional imaging in response assessment and machine-learning applications in radiology.  She is currently the Chief Investigator of the CRUK MAPPING trial in cervix and endometrial cancer and three NIHR trials MALIBO, MALIMAR (machine learning studies) and MROC (multicenter UK trial evaluating multi-parametric MRI in suspected or confirmed ovarian cancer).

Read more - Stream 4, Session 3 Chair

Read more - Stream 4, Session 3: Human computer interactions

Yvonne Rogers is the director of the Interaction Centre at UCL (UCLIC), deputy head of department for Computer Science and a Professor of Interaction Design. Her research focuses on how human behaviour can be impacted and augmented through the design and adoption of new technologies.

She is particularly interested in human-centred AI and alternative forms of chatbot design. She collaborates a lot with industrial partners and has been awarded a Microsoft Research Outstanding Collaborator Award (2016). Other awards include: the ACM SIGCHI Lifetime Research Award (2022); the Royal Society Robin Milner Medal for Computer Science (2022); a MRC Suffrage and Science Award (2020) for being one of the leading women in 'mathematics & computing.'

She was also elected as international member of the National Academy of Science (2024); a Fellow of the Royal Society (2022); a Fellow of the ACM (2018); a Fellow of the British Computer Society (2014) and a Fellow of the ACM's CHI Academy (2012). In her earlier career, she was awarded a prestigious EPSRC dream fellowship rethinking the relationship between ageing, computing and creativity. She is one of the authors of the definitive textbook on Interaction Design and HCI now in its 6th edition, that has sold over 300,000 copies worldwide and has been translated into many languages. She is the CTO of a start-up called LetsThink.com and a NED of the Digital Catapult.

Read more - Stream 3., Session 2: Best practice for evaluating AI for screening

Professor Alicja Rudnicka is a Professor in Statistical Epidemiology in the Population Health Research Institute.

Professor Rudnicka has been involved in a wide spectrum of epidemiological enquiry including large-scale population based studies and the application of artificial intelligence (AI) technology for analysing retinal images for risk prediction and disease detection.

She is involved in evaluating AI technology to analyse retinal images to detect sight-threatening diabetic eye disease patients with diabetes attending for annual screening for eye disease. Within the Population Health Research Institute she collaborates with colleagues on other areas of public health importance including, accuracy of body composition measurement in children in different ethnic groups, interventions to improve sleep in children and adolescents as well as collaborating with colleagues within St George's University Hospital Trust on a wide range of clinical outcomes.

Professor Rudnicka is undergraduate lead for Population Health Research Institute and theme lead for Population Health and Evidence Based Practice for undergraduate programmes including MBBS and Biomedical Sciences programmes at St George’s, and teaches on MSc courses to postgraduate students from a wide range of clinical and non-clinical backgrounds, in addition to MD and PhD supervision.

Dr Santhirapala is a practising anaesthesiologist who specialises in perioperative care at Guy's and St Thomas' NHS Foundation Trust, London. She has a keen interest in healthcare innovation and has led a series of successful innovation projects at national level within the remit of medical devices, patient decision making and digital health. Additionally, Ramai is one of 24 UK anaesthetists elected to the Royal College of Anaesthetists Council with a subsequent election to the RCoA Board of Trustees. In this capacity, she represents 24,000 anaesthesiologists at international level and is currently the Digital Lead for RCoA Council. 

Read more - Stream 2, Session 2: Holding vendors to account

Barry is a Partner in the Technology Group of William Fry. A practising lawyer for 17 years, he is internationally recognised as a leading expert in the area of AI law. He advises clients on issues relating to text and data mining, AI copyright infringement, machine learning, and AI ownership. He has expertise in AI specific contracts, licences, and dataset agreements and specialises in advising on the AI Act and other legislation such as the DSA and GDPR from an AI compliance perspective.

Barry was appointed by the Irish Government to Ireland’s AI Advisory Council; have recently completed the writing stage of his PhD on AI and copyright; and is a member of the Law Society of Ireland’s IP and Technology Committee.

Read more - Stream 2, Session 1 Chair: How green is my AI? 

Read more - Stream 3, Session 3: AI for children's imaging

Professor Susan Shelmerdine is a consultant paediatric radiologist based at Great Ormond Street Hospital for Children and a post-doctoral academic funded by the NIHR for her research work on artificial intelligence for children’s imaging. She is currently the lead for education subcommittee of the RCR AI committee, taskforce chair for AI at the European Society of Paediatric Radiology and also research lead for the South West London AI Group.

Read more - Stream 4, Session 5 Chair 

Dr. Smetherman is currently the secretary-treasurer of the ACR and a member of its Board of Chancellors. She also served as chair of the ACR Breast Commission, ACR councilor from Louisiana, chair of the ACR Breast Imaging Economics Committee, president of the Radiological Society of Louisiana, board member for the American College of Surgeons National Accreditation Program of Breast Centers, the American Roentgen Ray Society advisor and alternative advisor to the American Medical Association Current Procedural Terminology® (CPT®) Panel, and chair of the Technical Exhibits Committee of the Radiological Society of North America.

“Doctor Smetherman is recognized as an outstanding leader by those in radiology and beyond,” said Jacqueline A. Bello, MD, FACR, chair of the ACR Board of Chancellors. “ACR volunteer leaders are proud to have a CEO with a wealth of skills, abilities and experience to work with, shoulder-to-shoulder, for years to come.”

Smetherman succeeds radiology luminary William T. Thorwarth Jr., MD, FACR, who will retire June 30, after more than 10 years of service. As CEO, Dr. Thorwarth guided the College through the COVID-19 pandemic, overseeing the creation and distribution of resources to help members and their practices. In addition, he oversaw the launch of the ACR Data Science Institute®.

“Doctor Smetherman has long worked to ensure patients have access to the highest-quality radiologic care,” said Dr. Thorwarth, current ACR CEO. “I know she will continue to provide outstanding leadership for ACR on behalf of radiology professionals and those we serve.”

Smetherman received her undergraduate degree from Harvard College and her medical degree from Tulane University School of Medicine. She completed her internship in internal medicine and residency in diagnostic radiology at Ochsner Clinic Foundation.

Dr. Alexandra Taylor is a Consultant Clinical Oncologist specializing in radiotherapy, brachytherapy, CyberKnife, and chemotherapy for primary and recurrent gynecological cancers. She chairs the London Cancer Alliance Gynaecology Oncology Pathway Group.

A graduate of Cambridge and Guy’s Hospital, London, Dr. Taylor completed her Clinical Oncology training in 2003 and earned an MD for research on IMRT for cervical cancer. Her work on advanced radiotherapy technologies has been widely published and presented internationally.

Dr. Taylor's research focuses on innovative radiotherapy techniques, including IMRT, image-guided brachytherapy, and functional imaging integration. She is a member of the National Clinical Studies Group for Gynaecological Cancer.

Nell is an Improvement Fellow at the Health Foundation where she leads research projects on the use of technology and data to improve healthcare, specialising in artificial intelligence. Most recently, Nell has led research into the priorities for a national AI in health care strategy, as well as on public and staff attitudes to the use of AI in health. She was previously based in Leeds where she managed large, collaborative projects on health technology and data in collaboration with NHS providers and commissioners, universities, the local authority, and health innovation network.

Matt is a radiology resident doctor working in the Mersey deanery, with a part-time Clinical Research Fellow post at King's College London. He has an interest in neuroimaging and machine learning, and experience with software and artificial intelligence development within industry and academia. His clinical research software, for automated retrieval and deidentification of imaging data, is in use at several NHS sites.

Read more - Stream 3, Session 2: Putting AI to work: an overview of Dutch and European collaborative initiatives

Read more - Stream 4, Session 5: AIFI: Nationwide AI implementation for radiology in the Netherlands

Kicky van Leeuwen’s mission is to create value with data science and artificial intelligence for improved and more efficient patient care. She studied Technical Medicine at the University of Twente and gained both research and commercial experience in the field of artificial intelligence in healthcare before starting at the Radiology department of the Radboudumc.

She is a PhD candidate in the Diagnostic Image Analysis Group under supervision of Bram van Ginneken, Matthieu Rutten, Maarten de Rooij, and Steven Schalekamp. Her research concerns the development of a methodology for validation and implementation of artificial intelligence software in radiology.

Dr Sonam Vadera is a Radiologist, Clinical AI Fellow and a Member of the RCR Clinical AI Faculty.  Her expertise lies in the safe integration of AI technologies into clinical workflows and AI safety monitoring, particularly in the post-market surveillance phase. She is involved in research that examines the regulation, clinical implementation, validation, and post-deployment performance of AI-enabled medical devices. She is also leading research on whether and how LLMs should be regulated as medical devices.  Additionally, she is actively engaged in education, serving as an Editor for Radiopaedia, a leading global platform for radiology education.

Read more - Stream 1, Session 3: Using AI ACCEPT study guidelines

With a robust foundation in cardiovascular medicine and nearly 15 years of clinical experience, I am a fellowship-trained cardiologist with specialised expertise in cardiac imaging, including cardiac MRI (CMR) and echocardiography. My clinical focus encompasses structural heart disease and transoesophageal echocardiography (TOE), supported by advanced qualifications such as ESC Level 3 accreditation in CMR, BSE accreditation in transthoracic echocardiography (TTE), and EACVI accreditation in TOE.

My academic career is grounded in cutting-edge research, particularly in the integration of artificial intelligence (AI) into clinical workflows. My PhD at Imperial College London focused on developing AI-assisted clinical decision support systems for CMR diagnostics. I have led multi-centre research projects, including developing machine learning tools for detecting abnormal aortic valves and ensuring quality assurance for late gadolinium enhancement in CMR. I am honoured to have been a finalist for the BSCMR Young Investigator Award, and my work has been recognised at international conferences such as MICCAI, where I won Best Oral Presentation. Additionally, I have served as a BSCMR Trainee Board Observer and Representative, contributing to the advancement of CMR education and research at a national level.

I also have extensive experience in clinical trials, focusing on advanced imaging and patient selection for novel cardiac interventions. Most recently, as part of the first cohort of the UK’s first Clinical Artificial Intelligence Fellowship, I led the pioneering ACCEPT-AI trial, investigating the clinical workflow outcomes of commercial AI-based software in automating diagnoses and prioritising abnormal brain scans through wide-scale deployment in the NHS.

In addition to clinical work, I am passionate about teaching and mentorship. I have held formal teaching roles at Imperial College London and Brunel University, where I lectured on heart failure and valvular heart disease. I am also committed to promoting women in STEM through outreach and mentoring programs.

I have successfully led quality improvement projects, including establishing a Diuretic Lounge for heart failure patients, which reduced hospital admissions and improved patient outcomes. I continue to work on innovative AI-driven projects, aiming to enhance diagnostic accuracy and efficiency in cardiology.

Read more - Stream 4, Session 5: AIFI: Nationwide AI Implementation for radiology in the Netherlands 

Jacob Visser is a musculoskeletal radiologist by training and leads a research group on value-based radiology AI at the Erasmus MC in Rotterdam, NL. In addition, he is the Chief Medical Information Officer and Head of Imaging IT and Value-Based Imaging. He is also the chair of the European Society of Radiology’s (ESR) Value-Based Radiology Subcommittee, and serves as a chair of the European Society of Medical Imaging Informatics’ (EuSoMii) Scientific Committee. Furthermore, Jacob contributes to the Radiological Society of North America’s (RSNA) Working Group for Common Data Elements and is leading the AI efforts of the technical section of the Dutch Society of Radiology.

Read more - Stream 4, Session 5: Different international approches

Steering the future of radiology with a focus on informatics and AI implementation, Professor Wald's leadership at UMass Chan-Lahey and the American College of Radiology is marked by innovation and strategic direction. At Lahey Hospital amd Medical Centre, his role encompasses performance management, strategic leadership, and advancing imaging informatics.

His team's commitment to excellence in academic radiology and international teleradiology has been driven by expertise in EHR and data analysis. With a passion for enhancing graduate medical education, he is dedicated to cultivating a cutting-edge environment for both current and future radiology professionals.

Gemma is an MRI specialist Radiographer working within Gateshead Health NHS Trust. She’s also a PhD researcher at City St George’s, University of London. Gemma’s research interests include exploring Artificial Intelligence (AI) leadership roles for radiographers to support safe and effective AI implementation throughout healthcare.

Gemma won the ‘Radiographer Best Research Presentation Abstract’ at the European Congress of Radiology (ECR) 2024 and was also awarded a ‘We Are The City’ Rising Star award in the Digital Category (2024)

Dr James W Wang is a Consultant Oncologist at UCLH and involved in digital strategy and the implementation of AI auto contouring software. His interests are in deploying scalable computational solutions to solve healthcare challenges. He has a background in management and health economics, as well as computer vision, developing methods for unsupervised assessment of segmentation tools. He is also a founding member of the RCR Clinical Oncology panel, developing Oncology specific education on AI and guidelines on radiotherapy auto contouring.

Read more - Stream 1, Session 2: Can AI do the teaching?

Dr Nick Woznitza is a reporting radiographer and clinical academic. He generates high quality evidence to support role development and pathway redesign. Nick has insight into the evaluation of artificial intelligence in radiology, having chaired commercial evaluation panels and as a grant reviewer for NIHR/NHSx.

Nick is an accredited consultant practitioner with both the College of Radiographers and ASMIRT, and was the overall winner and practice innovator of the year at the 2017 Chief Allied Health Professions Officer awards. Co-founder of #MedRadJclub, the monthly radiography Twitter journal club.

Nick is a Fellow of the British Institute of Radiology (2018) and a Fellow of the College of Radiographers (2021).

Nick was awarded an MBE in the Queen’s New Years honours list in 2022 for services to radiography and as part of the COVID-19 response.

Steph has a diverse background ranging from astrophysics to genomics in academia and film & TV to dance in the arts and the third sector. A project and programme management professional, she loves to develop and build collaborations across organisations to help people with their data/AI journey. Steph led on Data Lab’s efforts in support of the Scottish Government in developing Scotland’s AI Strategy and she’s now leading on the delivery of the strategy’s vision for Scotland to be a leader in trustworthy, ethical and inclusive AI. She is passionate about technology benefitting the many and not the few. She is also Co-Founder of Diverse AI and was recognised as one of the 100 Brilliant Women in AI Ethics in 2023 and one of the Top 10 Women in Tech in Scotland in 2023. She was also recently awarded the 2024 DataIQ Award for Data & AI For Good Champion.

Read more - Stream 4, Session 5: AI in breast imaging – what does the future hold?

Sophia Zackrisson, MD, PhD, obtained her medical degree at Lund University, Sweden in 1999, became board certified physician in 2002 and radiologist in 2009. She completed her PhD in epidemiology in 2006 with a thesis on mammography screening. In 2011, Zackrisson did a post doc in molecular imaging at the Gambhir Lab, Stanford University, Ca, USA, on photoacoustic cancer imaging. Zackrisson is currently senior consultant radiologist at Skåne University Hospital Malmö and Associate Professor and Senior Lecturer in Radiology at Lund University, Sweden. She was head of section of oncological imaging at Skåne University Hospital between 2012-2017. Her clinical work involves breast and abdominal imaging. In her role as senior lecturer she is responsible for radiology research and radiological undergraduate teaching.

Professor Zackrisson has initiated several clinical and epidemiological studies within breast cancer imaging, with the most important achievements as PI of the Malmö Breast Tomosynthesis Screening Trial, MBTST. The MBTST is a prospective, population-based screening trial of 15,000 women, set to investigate the use of digital breast tomosynthesis in screening. Applications of artificial intelligence in screening, mechanical and optical imaging of the breast are areas of the group’s current investigations. Metastatic disease and colorectal cancer are other areas of interest. She is an internationally renowned speaker and author of numerous scientific papers and book chapters. She is vice chair of the Swedish Society of Breast Imaging since 2018 and chair of the Swedish Translational Research in Breast Cancer. She is executive board member of EUSOBI since 2017.