Day One - Monday 29 June 2026
Click on each stream card above the programme to view the each sessions streams.
Click on the button below to view the day two programme.
Please note: This programme is subject to change
Welcome to the 2nd Annual Global AI Conference 2026!
Collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors. Grab a coffee and take a moment to settle in before diving into the day's exciting programme.
Ground Floor, Churchill Auditorium
Join us as we officially open day one of our 2nd Annual Global AI Conference 2026. The day begins with a warm welcome and inspiring keynote to set the tone for two-days of learning, exploration and collaboration.
09:00 - 09:05 Opening remarks - Dr Stephen Harden, President of the RCR
09:05 Keynote address: To be announced
Discover how to get started using AI in clinical practice and hear the RCR's perspective on integrating AI as part of the curriculum and exams in the future. This session offers practical guidance and insights into how AI may shape the curriculum and assessment landscape.
This session introduces the AI courses available from the Royal College of Radiologists, helping attendees understand what is on offer and how they can enrol on the courses and when these will be. It will provide a practical guide to the different courses, outlining the content, describing who the course are aimed at, and explaining how they can support teaching and professional development.
This talk will explore where training of AI sits within the RCR Clinical Radiology curriculum, including who we should train, what we should train them, and how we should train.
Examples of positive experiences of AI in education together with current concerns for the future.
Level 3, Exhibition - Fleming, Whittle and Britten
Do you know how many training oppportunities there are to deepen your exposure to imaging-AI and it's clinical potential? In this session, you'll hear directly from Fellows who have completed well-established training Fellowships, including Topol Fellows, NHS Clinical AI Fellowship, and others.
Experience of the NHS Clinical AI Fellowship and pearls and pitfalls from my experience of implementing a commercial AI software into the NHS.
This session will reflect on the experience as an NHS Clinical AI Fellow contributing to a multi-site cluster randomised AI trial. It will explore practical considerations in trial design, outcome development, evaluation frameworks, and the realities of cross-site implementation within the NHS.
This talk will focus on how Dr Nikunj Davda used his clinical AI fellowship to overcome barriers to deplyoment and formulated strategies to successfully deploy AI for research at an NHS trust.
Level 3, Exhibition Hall - Fleming, Whittle and Britten
Will radiologists still be needed in the future? Join this thought-provoking discussion exploring the evolving role of medical imaging professionals in the age of AI. We’ll examine the competencies required to work effectively with AI tools and consider how the profession may adapt as technology advances.
Level 3, Exhibition - Fleming, Whittle and Britten
Artificial intelligence (AI) is an incredibly powerful tool for building systems that support the work of radiologists. From its early roots in digital image analysis, AI has evolved into a key driver of innovation, developing machine learning methods to support healthcare decision making. This sparked high interest and explosive growth in the use of AI and machine learning methods to analyse medical imaging data.
These promising techniques create systems that perform some diagnostic tasks at the level of expert radiologists. The systems have the potential to provide real-time assistance to radiologists, thereby reducing diagnostic errors, detecting disease early, improving patient outcomes, and reducing costs.
This session will explore the origins of AI and its applications to medical imaging, define key terminology, and showcase examples of real-world applications that suggest how AI and large language models may change the practice of medicine.
We'll also address the key limitations and challenges of AI that may limit the application of these new methods. Finally, we will present a forward-looking model predicting how AI will affect the radiology workforce in the next five years.
Level 3, Exhibition Hall (Britten, Fleming and Whittle)
For those joining us in-person, we’re delighted to welcome you to our inclusive drinks reception. Enjoy refreshments, connect with fellow attendees, and continue conversations in a relaxed and welcoming settng.
Welcome to the 2nd Annual Global AI Conference 2026!
Collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors. Grab a coffee and take a moment to settle in before diving into the day's exciting programme.
Ground Floor, Churchill Auditorium
Join us as we officially open day one of our 2nd Annual Global AI Conference 2026. The day begins with a warm welcome and inspiring keynote to set the tone for two-days of learning, exploration and collaboration.
09:00 - 09:05 Opening remarks - Dr Stephen Harden, President of the RCR
09:05 Keynote address: To be announced
AI is here to stay in our clinical and research practice, but as we move to increasingly complex machine learning models, how do we keep abreast of the raw computational cost of AI, and the huge energy requirements? In this session, we will examine this question from two angles. The first is to look forward at the hope of quantum computing, which offers unique potential in image acquisition and numerical optimisation that underpins our workflow. The second is to look at initiatives that optimise our use of high performance computing through better choice of task appropriate algorithms.
Level 3, Exhibition - Fleming, Whittle and Britten
Join our multi-industry session to uncover what is really going on behind the scenes we need to be aware of. We are increasingly introducing AI in our NHS hospitals without necessarily knowing we are procuring them as they come part of a package. Are we aware of this, how is it happening, what do we need to know?
In addition, industry partners who provide our technologies are using AI to enhance clinical workflows, both in software and imaging hardware. The session offers a unique opportunity to learn about best practice in AI development across sectors, and to understand how these innovations are shaping the future of care delivery from key industry partners.
Successful implementation of AI for analysis of CT brain for trauma patients in the acute setting. This was followed by the implementation of the C-spine algorithm, both in close connection with neurology and ED doctors. Secondarily, we started with the PE algorithm, both for the acute cases as well as for oncology screening. Not only TurnAroundTimes improved, but also the ED stay was significantly shortened.
Level 3, Exhibition Hall - Fleming, Whittle and Britten
Discover how artificial intelligence is transforming oncology by driving innovation across drug development, delivery, and imaging. This session explores the potential of AI to inform the design of novel drug radiation conjugates and optimise their delivery and response monitoring.
You'll learn how AI tools are being applied to target DNA damage repair mechanisms in cancer, offering new avenues for precision treatment. Gain insights into the clinical impact of these technologies and how they are reshaping therapeutic strategies and patient outcomes.
This session will provide an overview of recent developments in targeted radionuclide therapy, what is being done to support development of this treatment modality in the UK, and consider how AI might help to personalise treatment so that every patient derives the maximum possible benefit.
Image-based profiling assay data (cell painting) has increasingly been used to assess the impact of compounds’ cellular treatments. An uncharted use for this data is its incorporation into supervised learning tasks for molecular property prediction. Here, I present a protocol that uses cell painting fingerprints for clustering and labelling compounds according to drug effect. The methodology is deployed on 1,280 compounds from a LOPAC library assay of glioblastoma multiforme (GBM), a cancer of high complexity to treat due to its heterogeneity, with no new therapeutic candidates delivered to patients in over two decades. The computational screening capabilities of the pipeline are expanded by training binary classifiers of cellular phenotype over the labelled data, transforming the structural compound representations of each cluster into a physicochemical descriptor space. The property predictions are assessed on the C3L library, a chemically diverse set of 786 structures. The result is an end-to-end machine learning (ML) pipeline to test compounds for their probability to be GBM drug candidates.
Level 3, Exhibition - Fleming, Whittle and Britten
Artificial intelligence (AI) is an incredibly powerful tool for building systems that support the work of radiologists. From its early roots in digital image analysis, AI has evolved into a key driver of innovation, developing machine learning methods to support healthcare decision making. This sparked high interest and explosive growth in the use of AI and machine learning methods to analyse medical imaging data.
These promising techniques create systems that perform some diagnostic tasks at the level of expert radiologists. The systems have the potential to provide real-time assistance to radiologists, thereby reducing diagnostic errors, detecting disease early, improving patient outcomes, and reducing costs.
This session will explore the origins of AI and its applications to medical imaging, define key terminology, and showcase examples of real-world applications that suggest how AI and large language models may change the practice of medicine.
We'll also address the key limitations and challenges of AI that may limit the application of these new methods. Finally, we will present a forward-looking model predicting how AI will affect the radiology workforce in the next five years.
Level 3, Exhibition Hall (Britten, Fleming and Whittle)
For those joining us in-person, we’re delighted to welcome you to our inclusive drinks reception. Enjoy refreshments, connect with fellow attendees, and continue conversations in a relaxed and welcoming settng.
Welcome to the 2nd Annual Global AI Conference 2026!
Collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors. Grab a coffee and take a moment to settle in before diving into the day's exciting programme.
Ground Floor, Churchill Auditorium
Join us as we officially open day one of our 2nd Annual Global AI Conference 2026. The day begins with a warm welcome and inspiring keynote to set the tone for two-days of learning, exploration and collaboration.
09:00 - 09:05 Opening remarks - Dr Stephen Harden, President of the RCR
09:05 Keynote address: To be announced
Navigating AI regulation shouldn't require a law degree. This session cuts through the complexity to deliver what procurement professionals and decision-makers actually need to know. We'll map the current regulatory landscape, from the EU AI Act to UK MDR updates, and translate dense policy into practical guidance.
Learn which regulations apply to your AI purchases, what compliance really looks like in practice, and how to ask the right questions of vendors. Whether you're procuring diagnostic algorithms or administrative tools, leave with a clear framework for making informed, compliant decisions without getting lost in regulatory weeds.
Level 3, Exhibition - Fleming, Whittle and Britten
This session bridges the gap between cutting-edge research and practical governance standards for AI safety. You'll discover how to manage risk at every stage of clinical trials, from protocol design through post-market surveillance. You'll gain actionable strategies for monitoring algorithm drift and safeguarding data integrity. Learn how to maintain safety as AI systems evolve in real-world settings, and walk away with practical tips for conducting robust AI trials that satisfy good clinical practice and regulators, while advancing responsible innovation.
The NIHR Health technology Assessment funded EDITH trial (Early Detection using Information Technology in Health) is testing whether or not one reader using AI can replace the standard two expert readers in the UK breast screening programme. In up to 30 sites 660,000 women will be recruited into one of three arms – AI replacing one reader, triage arm where low likelihood mammograms read by one reader and high likelihood read by two people compared to standard care. This talk will highlight the steps required to deploy AI within NHS Trusts describing real life examples where hold-ups occur and explore mechanisms to streamline governance and clinical safety processes.
Level 3, Exhibition Hall - Fleming, Whittle and Britten
Healthcare leaders face mounting pressure to invest in AI, but when does it actually pay off? Drawing on a systematic review of health economic outcomes research in radiology AI, this session examines the evidence behind the promises.
We'll explore NICE's Early Value Assessments and rules-based frameworks that help decision-makers separate hype from genuine value. This session will highlight which AI applications demonstrate measurable ROI, what timelines are realistic for break-even, and how to evaluate economic claims critically. You'll discover practical tools for assessing whether AI investments will deliver both financial and clinical returns within your system and organisation.
This session will present the findings from a recently published systematic literature review of economic evaluations of AI in radiology. A discussion of these findings will detail guidance on appropriate data collection when conducting economic evaluations of radiology AI, with the aim to support its adoption in clinical practice.
Level 3, Exhibition - Fleming, Whittle and Britten
Artificial intelligence (AI) is an incredibly powerful tool for building systems that support the work of radiologists. From its early roots in digital image analysis, AI has evolved into a key driver of innovation, developing machine learning methods to support healthcare decision making. This sparked high interest and explosive growth in the use of AI and machine learning methods to analyse medical imaging data.
These promising techniques create systems that perform some diagnostic tasks at the level of expert radiologists. The systems have the potential to provide real-time assistance to radiologists, thereby reducing diagnostic errors, detecting disease early, improving patient outcomes, and reducing costs.
This session will explore the origins of AI and its applications to medical imaging, define key terminology, and showcase examples of real-world applications that suggest how AI and large language models may change the practice of medicine.
We'll also address the key limitations and challenges of AI that may limit the application of these new methods. Finally, we will present a forward-looking model predicting how AI will affect the radiology workforce in the next five years.
Level 3, Exhibition Hall (Britten, Fleming and Whittle)
For those joining us in-person, we’re delighted to welcome you to our inclusive drinks reception. Enjoy refreshments, connect with fellow attendees, and continue conversations in a relaxed and welcoming settng.
Welcome to the 2nd Annual Global AI Conference 2026!
Collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors. Grab a coffee and take a moment to settle in before diving into the day's exciting programme.
Ground Floor, Churchill Auditorium
Join us as we officially open day one of our 2nd Annual Global AI Conference 2026. The day begins with a warm welcome and inspiring keynote to set the tone for two-days of learning, exploration and collaboration.
09:00 - 09:05 Opening remarks - Dr Stephen Harden, President of the RCR
09:05 Keynote address: To be announced
A showcase of successful NHS and industry AI deployments that have moved from concept to clinic, exploring real-world impact, integration challenges, and lessons from those leading AI-enabled service transformation.
Using an Ambient AI (or an AI scribe) solution to improve patient care and reduce clinician admin burden in multiple settings (hospital outpatients, community care, primary care, mental health, emergency room, and ambulance service settings); Describing the journey from problem, to early phase development and evaluation, to use case scaling, to delivery.
An update on delivery to date and future plans for scale and spread of AI in diagnostics across the NHS in England.
Level 3, Exhibition - Fleming, Whittle and Britten
From imaging to histopathology and treatment planning, this session explores how AI is reshaping multidisciplinary cancer care, providing decision support, prognostic insight, and workflow efficiency across the patient pathway.
This talk will provide an update on research undertaken into the design of a novel smat radiotherapy device that is aimed to enhance access to radiation therapy in low and middle income countries, and in rural areas of high income countries.
Level 3, Exhibition Hall - Fleming, Whittle and Britten
AI innovation can only move as fast as the infrastructure beneath it. In this session, leading experts share how scalable, secure and interoperable foundations, from federated datasets and clinical data platforms, enables safe, effective and equitable AI deployment across health systems.
This session will present key findings from the NIHR Rapid Service Evaluation Team's mixed-methods evaluation of implementing AI tools for chest diagnostics, as deployed through NHS England's AI Diagnostic Fund. We will discuss implementation approaches, impact on service delivery, resource use, and cost-effectiveness. We will discuss considerations for future implementation of AI in NHS services.
The AI Diagnostic Fund (AIDF) has successfully deployed AI diagnostic support tools across over half of NHS hospital trusts in England, exceeding the original target of 40–50 trusts while delivering under budget at £19m. It is projected to significantly reduce turnaround times for priority lung cancer scans, benefiting many of the 43,000 patients diagnosed nationwide each year. This presentation narrates the story of the AIDF from the early stages of policy making to the deployment and benefit realisation, highlighting key lessons that are informing plans for the next phase of scaled AI deployment in diagnostics across the NHS.
Level 3, Exhibition - Fleming, Whittle and Britten
Artificial intelligence (AI) is an incredibly powerful tool for building systems that support the work of radiologists. From its early roots in digital image analysis, AI has evolved into a key driver of innovation, developing machine learning methods to support healthcare decision making. This sparked high interest and explosive growth in the use of AI and machine learning methods to analyse medical imaging data.
These promising techniques create systems that perform some diagnostic tasks at the level of expert radiologists. The systems have the potential to provide real-time assistance to radiologists, thereby reducing diagnostic errors, detecting disease early, improving patient outcomes, and reducing costs.
This session will explore the origins of AI and its applications to medical imaging, define key terminology, and showcase examples of real-world applications that suggest how AI and large language models may change the practice of medicine.
We'll also address the key limitations and challenges of AI that may limit the application of these new methods. Finally, we will present a forward-looking model predicting how AI will affect the radiology workforce in the next five years.
Level 3, Exhibition Hall (Britten, Fleming and Whittle)
For those joining us in-person, we’re delighted to welcome you to our inclusive drinks reception. Enjoy refreshments, connect with fellow attendees, and continue conversations in a relaxed and welcoming settng.
Welcome to the 2nd Annual Global AI Conference 2026!
Collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors. Grab a coffee and take a moment to settle in before diving into the day's exciting programme.
Ground Floor, Churchill Auditorium
Join us as we officially open day one of our 2nd Annual Global AI Conference 2026. The day begins with a warm welcome and inspiring keynote to set the tone for two-days of learning, exploration and collaboration.
09:00 - 09:05 Opening remarks - Dr Stephen Harden, President of the RCR
09:05 Keynote address: To be announced
Level 3, Exhibition - Fleming, Whittle and Britten
This taster session is drawn from the RCR's acclaimed Clinical Radiology AI Course 1: AI Fundamentals for Imaging and Healthcare. It aims to provide an accessible introduction to the technical concepts underpinning modern AI.
When AI fails in clinical practice, bias is often the reason. This session examines where bias emerges in healthcare datasets, how it affects performance across patient groups, and what clinicians must do to safeguard safe implementation.
Level 3, Exhibition Hall - Fleming, Whittle and Britten
At the request of Radiology Residents, a selection of speakers with significant experience in medical education to discuss training as well as AI. We explore widening participation, how to teach and learn, how residents can get involved with AI, day to day implications for clinical practice and how this may affect training. We welcome you to join this education focused session and contribute with our speakers!
Level 3, Exhibition - Fleming, Whittle and Britten
Artificial intelligence (AI) is an incredibly powerful tool for building systems that support the work of radiologists. From its early roots in digital image analysis, AI has evolved into a key driver of innovation, developing machine learning methods to support healthcare decision making. This sparked high interest and explosive growth in the use of AI and machine learning methods to analyse medical imaging data.
These promising techniques create systems that perform some diagnostic tasks at the level of expert radiologists. The systems have the potential to provide real-time assistance to radiologists, thereby reducing diagnostic errors, detecting disease early, improving patient outcomes, and reducing costs.
This session will explore the origins of AI and its applications to medical imaging, define key terminology, and showcase examples of real-world applications that suggest how AI and large language models may change the practice of medicine.
We'll also address the key limitations and challenges of AI that may limit the application of these new methods. Finally, we will present a forward-looking model predicting how AI will affect the radiology workforce in the next five years.
Level 3, Exhibition Hall (Britten, Fleming and Whittle)
For those joining us in-person, we’re delighted to welcome you to our inclusive drinks reception. Enjoy refreshments, connect with fellow attendees, and continue conversations in a relaxed and welcoming settng.