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Stream 3, Session 3: Post market surveillance

Time

Session details

14:15

Welcome address
Professor Rowena Johnson - Consultant Musculoskeletal Radiologist, Fortius Clinic, UK

14:20

Post market surveillance
Geraldine Dean, NHS SW London Imaging Network 

14:40

AI in Flight: Navagating the path to safe landing or risking a crash?
Dr Aditya Kale - Clinical Research Fellow in AI and Digital Health, University Hospitals Birmingham NHS Foundation Trust

Artificial intelligence (AI) has shown promise for use in a range of healthcare tasks such as diagnosis, prognosis, and even drug dosing. While evidence suggests that AI can enhance or even exceed clinician accuracy in specific tasks, much of this evidence is retrospective, with limited prospective data from studies such as randomised controlled trials. Despite this, there has been an exponential increase in the number of commercially available AI enabled medical devices. Ensuring the safety of clinical AI technologies requires rigorous post-market surveillance, a process crucial for monitoring and mitigating risks. This session explores algorithmic auditing in addition to adverse event reporting across clinical trials and real-world settings, emphasizing the importance of post-market surveillance. A focus on the Medical Algorithmic Audit framework will provide a blueprint for AI safety monitoring, alongside insights into stakeholder views on surveillance, outlining essential tools for ensuring ongoing safety in AI deployment.

15:00

Best practive for evaluating AI for screening: 
Professor Alicja Rudnicka, Professor in Statistical Epidemiology, Population Health Research Institute

15:20

Panel discussion: 
Featuring Professor Rowena Johnson, Dr Andrew Leary, Dr Aditya Kale and Professor Alicja Rudnicka

15:45

Session ends

Programme subject to change

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Speakers

Professor Rowena Johnson

Consultant Musculoskeletal Radiologist
Fortius Clinic, UK
Professor Rowena Johnson
  • Professor Rowena Johnson

    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. 

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Dr Geraldine Dean MD MSc MRCS FRCR

Consultant Radiologist and Artificial Intelligence Lead
NHS SW London Imaging Network
Dr Geraldine Dean MD MSc MRCS FRCR
  • Dr Geraldine Dean MD MSc MRCS FRCR

    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.

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Dr Aditya Kale

Clinical Research Fellow in AI and Digital Health
University Hospitals Birmingham NHS Foundation Trust, UK
Dr Aditya Kale
  • Dr Aditya Kale

    Read more - Stream 3, Session 2: AI in flight: Navigating the path to safe landing or risking a crash?

    Dr Kale is a clinical academic with a passion for medical diagnostics. His current research focus is the detection, analysis and reporting of AI errors and patient harms. Dr Kale's research aims to understand how AI performance and patient safety can be monitored post-deployment with a collaborative, multi-stakeholder approach. He is interested in validation of AI/ML enabled technologies and evidence generation across all stages of the development to deployment pipeline.

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Professor Alicja Rudnicka

Professor of Statistical Epidemiology
St. George’s University of London, UK
Professor Alicja Rudnicka
  • Professor Alicja Rudnicka

    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.

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