Day Two - Tuesday 30 June 2026
Click on each stream box above the programme listing to view the sessions within each stream.
Click on the button below to view the day one programme.
Please note: This programme is subject to change
If you're joining us for the first time, please collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors.
If you attended yesterday, head straight to level 3 to continue networking, enjoy refreshments, and revisit the exhibition space.
Ground Floor, Churchill Auditorium
Join us as we begin day two of the 2nd Annual Global AI Conference 2026. The morning opens with a brief welcome before we dive into an inspiring keynote session to set the tone for another day of learning, collaboration and innovation.
09:00 - 09:05 Opening remarks - Professor Owen Arthurs, AI Conference Committee Chair
09:05 - 09:40 Moving fast and not breaking things: the future of regulating AI in healthcare - Professor Alastair Denniston, Chair of the National Commission, Regulation of AI in healthcare
In this keynote session, we will explore how regulation can be used as a tool to help shape the future of AI-enabled healthcare, and how we ensure it delivers the kind of health system we actually want. Drawing on the work of the Commission, the session will share insights from public, front-line professionals, and international experts, and consider what this perspectives could mean for the future regulation of AI in the UK. We will examine how the Commission is helping set the direction and the guard-rails that will define the future regulatory framework within which we will all be working and experiencing healthcare in. Ultimately, the session will focus on how we achieve the ‘Goldilocks’ state: creating regulation that is both sufficient and efficient, enabling innovation that will improve care while ensuring patient safety.
Can AI help radiologists train more effectively and even pass their exams? This session explores the growing range of AI tools available to trainees, from chatbots and vibe coding to interactive question banks. Discover how these technologies are being used to support learning, enhance exam preparation, and personalise training experiences.
This session explores how AI can augment radiologists to work at a “superhuman” level by enhancing skills, extending capabilities, and improving productivity and wellbeing. Moving beyond a purely educational focus, it will highlight practical applications of AI in research, workflow optimisation, and clinical practice, including ambient scribe reporting, supervised autonomous reporting, vibe coding, and emerging agentic AI tools. The talk will consider how these technologies are reshaping how radiologists learn, work, and innovate, and what this means for the future role of the clinician.
Medical AI is entering a new era where clinical and domain experts, rather than just engineers, are leading innovation with advanced AI tools. This presentation focuses on these tools that empower clinicians and radiologists. One notable example is vibe coding, a method that translates natural language into functional analytical pipelines, allowing clinicians and researchers to easily create and deploy medical imaging solutions. Additionally, tools like MONAI, a robust open-source framework, streamline the use of existing AI models and support the development of new ones for medical imaging analysis. This acceleration enhances imaging pipelines for segmentation, registration, and analysis in clinical settings. As advancements continue, new patient-specific models are emerging that combine imaging-derived biomarkers with disease trajectory modelling. This allows for more personalised and interpretable diagnoses and prognoses at scale. Together, the development of these AI tools reduces barriers, effectively bridging the gap between AI research and real-world clinical applications.
This session will examine the practical integration of artificial intelligence into radiology training and assessment. Using RadBytes as a case study, it will demonstrate how AI tutoring can deliver real time structured feedback to support learner development. This talk will focus on real world implementation, benefits, limitations, and lessons learned, and consider how AI tools can enhance training while maintaining clinical standards and professional judgement.
Level 3, Exhibition - Fleming, Whittle and Britten
Discover how AI‑enabled education is evolving across Scotland, Wales, Northern Ireland and England, and what this means for the future clinical workforce. This session explores how devolved health systems are embedding AI into training pathways, addressing regional needs, and preparing clinicians for AI‑supported practice. Delegates will gain insights into innovative models, emerging challenges, and practical lessons on building an AI‑ready workforce across diverse healthcare settings.
This presentation evaluates SimPatient as a scalable technological intervention to mitigate the clinical education capacity crisis. Centred on the Scottish healthcare landscape, the session examines the integration of linguistic and demographic diversity within AI-driven simulation to enhance the authenticity of medical training. The discussion prioritises the core pillars of AI safety, specifically the reliability and robustness of generative models. Furthermore, initial research findings regarding pedagogical effectiveness are presented.
National Imaging Academy Wales has been involved in Imaging Artificial Intelligence since opening in 2018, learning and gaining experience in many aspects of AI use. The session will describe NIAW's journey, exploring many AI tools in a sandbox environment, establishing a programme of AI service evaluation and applied research whilst providing training opportunities and service implementation.
This presentation will provide a brief overview of the VITAL platform and its potential to enhance training scenarios across a range of professional contexts, including social work, clinical psychology, and education. The talk will outline how VITAL has been adapted for different training environments and present illustrative examples of its application. It will also consider how AI-supported conversational simulation, when developed with clearly defined pedagogical aims, can contribute to preparing professionals to respond more effectively to complex or uncertain situations.
Discussing how extant reporting frameworks for good spots and errors can, and should be repurposed to monitor AI bias and exploring new human factors in the era of AI.
Level 3, Exhibition Hall - Fleming, Whittle and Britten
Ground Floor, Churchill Auditorium
16:00 - 16:30 Closing keynote lecture - Chaired by Dr Stephen Harden, President, RCR
If you're joining us for the first time, please collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors.
If you attended yesterday, head straight to level 3 to continue networking, enjoy refreshments, and revisit the exhibition space.
Ground Floor, Churchill Auditorium
Join us as we begin day two of the 2nd Annual Global AI Conference 2026. The morning opens with a brief welcome before we dive into an inspiring keynote session to set the tone for another day of learning, collaboration and innovation.
09:00 - 09:05 Opening remarks - Professor Owen Arthurs, AI Conference Committee Chair
09:05 - 09:40 Moving fast and not breaking things: the future of regulating AI in healthcare - Professor Alastair Denniston, Chair of the National Commission, Regulation of AI in healthcare
In this keynote session, we will explore how regulation can be used as a tool to help shape the future of AI-enabled healthcare, and how we ensure it delivers the kind of health system we actually want. Drawing on the work of the Commission, the session will share insights from public, front-line professionals, and international experts, and consider what this perspectives could mean for the future regulation of AI in the UK. We will examine how the Commission is helping set the direction and the guard-rails that will define the future regulatory framework within which we will all be working and experiencing healthcare in. Ultimately, the session will focus on how we achieve the ‘Goldilocks’ state: creating regulation that is both sufficient and efficient, enabling innovation that will improve care while ensuring patient safety.
Explore the role of AI in transforming clinical leadership. Learn how AI tools can empower healthcare leaders to make better decisions and improve patient outcomes as well as potentially avoid staff burnout, maintain retention, and improve efficiencies across healthcare pathways.
Ophthalmology is among the most technology-driven of the all the medical specialties, with treatments utilizing high-spec medical lasers and advanced microsurgical techniques, and diagnostics involving ultra-high resolution imaging. Ophthalmology is also at the forefront of many trailblazing research areas in healthcare, such as stem cell therapy, gene therapy, and - most recently - artificial intelligence. In July 2016, Moorfields Eye Hospital announced a formal collaboration with the world’s leading artificial intelligence company, DeepMind. This collaboration involves the sharing of >1,000,000 anonymised retinal scans with DeepMind to allow for the automated diagnosis of diseases such as age-related macular degeneration (AMD) and diabetic retinopathy (DR). As a result of this collaboration, Moorfields received funding from the UK government to create INSIGHT, the Health Data Research Hub for Eye Health. INSIGHT is a Cloud-based data pipeline at Moorfields and our partner University Hospitals Birmingham. At Moorfields alone, INSIGHT consists of >35 million ophthalmic images paired with clinical metadata, making it the world’s largest ophthalmic imaging bioresource. In my presentation I will provide an overview of INSIGHT, share our learnings with regard to data governance and patient/public involvement, and describe our plans to use this resource to help create breakthroughs in ophthalmology on a global scale.
The promises in efficiency, efficacy and safety that AI brings can only materialise with customised education, robust governance and transformational leadership. While efforts have started towards the first two attributes of successful AI integration, leadership remains largely unexplored. This presentation will explore how and why medical imagers should lead and support AI implementation in Radiology and Radiography.
Level 3, Exhibition - Fleming, Whittle and Britten
The integration of imaging data with other data sources is an incredibly fast moving space, driven by the expansion of foundation models for healthcare data and powerful large language models. In this session we will hear an update from research and commercial domains on what is state of the art for multimodal data processing with AI.
This talk will discuss where computational pathology may go beyond the foundation-model era. While pathology foundation models have improved performance across a wide range of downstream tasks, important challenges remain in interpretability, stability, and trustworthiness. I will briefly introduce recent progress in computational pathology, and then focus on a central question: does higher accuracy necessarily mean better cancer understanding? I will discuss our recent work on attention inconsistency across foundation models, together with practical directions such as multi-model fusion, lightweight distillation, and pathology models with built-in interpretability through visual and microenvironment graph branches. The overall aim is to move beyond accuracy alone and towards AI systems that are more reliable, auditable, and clinically meaningful for cancer research.
Radiologists rarely diagnose from an image alone; they synthesize scans with patient histories, lab results, and clinical notes. Yet, most multimodal AI models struggle when faced with the messy reality of clinical practice, where data is frequently incomplete, noisy, or unannotated. This talk explores recent advancements in building "resilient" multimodal AI designed specifically for these imperfect, real-world conditions. We will discuss novel machine learning strategies that tackle clinical data challenges head-on, from learning effectively without needing thousands of manual annotations, to training robust models on incomplete patient records, to deploying adaptive algorithms that can adjust on the fly when certain lab results or histories are missing at the point of care. Ultimately, this presentation demonstrates how next-generation AI can reliably fuse imaging and tabular data, bridging the gap between perfectly curated research datasets and the everyday realities of the reading room.
Large-scale digitisation of histopathology slides has created an opportunity to revisit how we discover new biomarkers. In this talk, I describe early work on a system to automatically generate natural-language hypotheses linking morphological features to disease labels. Our approach extracts interpretable visual concepts from whole-slide images, identifies those most relevant for a given clinical question, and synthesises them into clinician-readable explanations. I will discuss proof of concept results on well-studied cancer subtyping problems, open challenges in proposing and evaluating machine-generated hypotheses, and directions for future work.
Level 3, Exhibition Hall - Fleming, Whittle and Britten
Patient’s understanding of AI and its role is constantly evolving as we encounter it in different aspects of our life. In this session we'll focus our understanding on who is the intended beneficiary of AI technology, and what outcomes do we hope to achieve. We bring in perspectives from global cancer control to the ethical considerations of AI.
AI is fast influencing everyday life, including patient healthcare. Yet there is limited understanding of AI - what it is, how it works and what it brings. Patients' expectations of healthcare and clinicians are discussed and potential positive and negative impacts of AI are considered, including the impact on clinician to patient communication.
Ground Floor, Churchill Auditorium
16:00 - 16:30 Closing keynote lecture - Chaired by Dr Stephen Harden, President, RCR
If you're joining us for the first time, please collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors.
If you attended yesterday, head straight to level 3 to continue networking, enjoy refreshments, and revisit the exhibition space.
Ground Floor, Churchill Auditorium
Join us as we begin day two of the 2nd Annual Global AI Conference 2026. The morning opens with a brief welcome before we dive into an inspiring keynote session to set the tone for another day of learning, collaboration and innovation.
09:00 - 09:05 Opening remarks - Professor Owen Arthurs, AI Conference Committee Chair
09:05 - 09:40 Moving fast and not breaking things: the future of regulating AI in healthcare - Professor Alastair Denniston, Chair of the National Commission, Regulation of AI in healthcare
In this keynote session, we will explore how regulation can be used as a tool to help shape the future of AI-enabled healthcare, and how we ensure it delivers the kind of health system we actually want. Drawing on the work of the Commission, the session will share insights from public, front-line professionals, and international experts, and consider what this perspectives could mean for the future regulation of AI in the UK. We will examine how the Commission is helping set the direction and the guard-rails that will define the future regulatory framework within which we will all be working and experiencing healthcare in. Ultimately, the session will focus on how we achieve the ‘Goldilocks’ state: creating regulation that is both sufficient and efficient, enabling innovation that will improve care while ensuring patient safety.
The UK's regulatory landscape for AI medical devices is evolving rapidly. Join Marinos Ioannides, Head of Software and AI Medical Devices Regulation at MHRA, alongside expert panelists for an insider's perspective on the latest updates to UK MDR for AI as a Medical Device (AIaMD).
Join this interactive panel discussion to unpack what these changes mean for manufacturers, clinicians, and healthcare systems. From pre-market requirements to post-market surveillance, you'll discover how the MHRA is adapting regulation to match AI's unique challenges. There will be an opportunity to engage directly with our experts shaping the future of AI medical device oversight. Bring your questions for a dynamic discussion.
The AI Ambassador Network was launched in January 2025, providing a bridge between AI policy and practice and open to anyone with an interest in AI In health and care. Ian Baines (NHS Horizons) and Alison Tweed (NHSE/DHSC) provide their perspectives on the founding, growth and success of the network as it has become one of the largest learning communities for AI in health and care in the world. They will highlight members’ interests and concerns and describe how the network has developed into a partnership for policy development.
Level 3, Exhibition - Fleming, Whittle and Britten
How do we develop AI policy that balances innovation with protection? In this session, we explore the critical challenge of creating trustworthy AI frameworks that serve society. The discussion will touch on policies and governance structures needed for safe, effective AI deployment in healthcare and beyond. From legislative priorities to practical implementation, discover how policymakers, regulators, and clinicians are collaborating to shape AI's future. Join the conversation on building public trust while enabling transformational technology to flourish responsibly.
Overview of US national quality assurance framework and registry for safe and effective deployment and post-deployment monitoring of imaging AI.
Level 3, Exhibition Hall - Fleming, Whittle and Britten
Traditional regulatory frameworks weren't built for technologies that learn and evolve. This session explores how regulatory science itself must innovate to keep pace with AI. Hear insights from CERSI-AI (Centers of Excellence in Regulatory Science and Innovation for AI) and the National Commission on AI Regulation as they pioneer new methodologies for evaluating algorithmic systems.
You'll learn how cutting-edge research is informing evidence standards, validation approaches, and assessment frameworks specifically designed for AI's unique characteristics. From adaptive trial designs to real-world performance monitoring, you'll explore the scientific innovations reshaping how we evaluate and oversee AI technologies in healthcare.
Ground Floor, Churchill Auditorium
16:00 - 16:30 Closing keynote lecture - Chaired by Dr Stephen Harden, President, RCR
If you're joining us for the first time, please collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors.
If you attended yesterday, head straight to level 3 to continue networking, enjoy refreshments, and revisit the exhibition space.
Ground Floor, Churchill Auditorium
Join us as we begin day two of the 2nd Annual Global AI Conference 2026. The morning opens with a brief welcome before we dive into an inspiring keynote session to set the tone for another day of learning, collaboration and innovation.
09:00 - 09:05 Opening remarks - Professor Owen Arthurs, AI Conference Committee Chair
09:05 - 09:40 Moving fast and not breaking things: the future of regulating AI in healthcare - Professor Alastair Denniston, Chair of the National Commission, Regulation of AI in healthcare
In this keynote session, we will explore how regulation can be used as a tool to help shape the future of AI-enabled healthcare, and how we ensure it delivers the kind of health system we actually want. Drawing on the work of the Commission, the session will share insights from public, front-line professionals, and international experts, and consider what this perspectives could mean for the future regulation of AI in the UK. We will examine how the Commission is helping set the direction and the guard-rails that will define the future regulatory framework within which we will all be working and experiencing healthcare in. Ultimately, the session will focus on how we achieve the ‘Goldilocks’ state: creating regulation that is both sufficient and efficient, enabling innovation that will improve care while ensuring patient safety.
Hear from experts from different specialisms how AI is challenging traditional models of care delivery.
Introduction of AI interpretation of images presents unique opportunity to optimise downstream workflows but often requires transformation of pathways. In this session using examples of thoracic CT and CXR will describe how clinical and cost effectiveness can be demonstrated for patient outcomes.
AI is already transforming the way healthcare is delivered. However - in fast moving acute care settings, the challenging last mile of development and implementation is particularly hard to navigate. In this talk we will explore the challenge, and the opportunity if we get this right.
Level 3, Exhibition - Fleming, Whittle and Britten
Beyond automation - this session explores the next frontier of agentic AI systems capable of autonomous decision-making and adaptive learning, and how they could safely transform healthcare delivery, regulation, and accountability.
Level 3, Exhibition Hall - Fleming, Whittle and Britten
Discover how AI can streamline complex clinical pathways, from image analysis to data integration, enabling more efficient multidisciplinary working and freeing clinicians to focus on patient-centred decisions.
Ten years ago, many experts predicted machine learning would displace much of the work of radiologists. Since then, a substantial radiology AI industry has arisen, with more than 100 AI companies exhibiting at the most recent radiology professional meeting and more than three-quarters of FDA cleared AI/ML software devices targeting radiology. As the shortage of radiologists grows, and as we gain experience with the actual use of AI systems, extensive commentary has questioned how AI will affect the radiology workforce. The growing scientific literature regarding the effect of AI algorithms on radiology tasks enabled us for the first time to make specific predictions about the effect of AI. We will present a quantitative task-based analysis to project the effects of AI on the radiology work force in the next 5 years using the best available evidence. The analysis is of clear interest not only to radiologists, but also to many other stakeholders, including medical students choosing a medical specialty, radiologists-in-training who will be affected by these developments throughout their careers, other medical professionals who may see AI’s effects in radiology as a leading indicator of how AI may affect their workforce.
The integration of artificial intelligence into cancer care is rapidly transforming the field of oncology, offering opportunities to enhance patient outcomes and healthcare efficiency through improved diagnostics, personalized treatments, and effective resource management. Current research in AI applications in oncology focuses on several key areas including digital pathology, medical imaging, analysis of complex multi-omics data, biomarker development, optimization of radiotherapy treatment planning, drug discovery, and predictive modeling of patient outcomes. These breakthroughs pave the way for precision oncology enabling the individualization of treatment plans tailored to specific patient and tumor characteristics. Nonetheless, despite these promising developments, challenges remain in the integration of AI into daily practice. Data bias and the interpretability of AI models are crucial factors for clinical adoption. Ethical considerations surrounding patient privacy, data security, and liability issues also warrant careful attention. To fully realize the potential of AI in cancer care, close collaboration among oncologists, specialists in other medical disciplines, data scientists, and policymakers is essential for establishing robust frameworks for implementation. This talk will review current advances in AI applications in oncology alongside the challenges that lie ahead.
Ground Floor, Churchill Auditorium
16:00 - 16:30 Closing keynote lecture - Chaired by Dr Stephen Harden, President, RCR
If you're joining us for the first time, please collect your badge and head to level 3 to enjoy refreshments, explore the exhibition hall, and connect with our exhibitors.
If you attended yesterday, head straight to level 3 to continue networking, enjoy refreshments, and revisit the exhibition space.
Ground Floor, Churchill Auditorium
Join us as we begin day two of the 2nd Annual Global AI Conference 2026. The morning opens with a brief welcome before we dive into an inspiring keynote session to set the tone for another day of learning, collaboration and innovation.
09:00 - 09:05 Opening remarks - Professor Owen Arthurs, AI Conference Committee Chair
09:05 - 09:40 Moving fast and not breaking things: the future of regulating AI in healthcare - Professor Alastair Denniston, Chair of the National Commission, Regulation of AI in Healthcare
In this keynote session, we will explore how regulation can be used as a tool to help shape the future of AI-enabled healthcare, and how we ensure it delivers the kind of health system we actually want. Drawing on the work of the Commission, the session will share insights from public, front-line professionals, and international experts, and consider what this perspectives could mean for the future regulation of AI in the UK. We will examine how the Commission is helping set the direction and the guard-rails that will define the future regulatory framework within which we will all be working and experiencing healthcare in. Ultimately, the session will focus on how we achieve the ‘Goldilocks’ state: creating regulation that is both sufficient and efficient, enabling innovation that will improve care while ensuring patient safety.
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 - Fleming, Whittle and Britten
Level 3, Exhibition Hall - Fleming, Whittle and Britten
Ground Floor, Churchill Auditorium
16:00 - 16:30 Closing keynote lecture - Chaired by Dr Stephen Harden, President, RCR