Speakers
Dr Joe Alderman
Chris Bourdeaux
Dr Steve Harris
Dr Benjamin Post
Stream 1
This session aims to move away from theoretical discussions about how AI could be used to how it can be used now in medicine. Attendees will hear how best to use their own data, gain an understanding of hot-off-the-press national regulations and learn how an NHS trust developed and deployed their own machine learning tool.
Learning objectives:
Co-chairs: Ben Post and Steve Harris
Presentations:
Joe is an NIHR clinical lecturer in anaesthetics, and a postdoctoral research in AI and digital health at the University of Birmingham. His PhD was focused on predictive models and risk scores which are used throughout healthcare – how can we ensure these data-driven tools are safe and effective for everyone? He leads on mixed-methods research and policy projects relating to AI in health, and has recently founded an international initiative to build ‘The Health Chatbot Users’ Guide’.
Chris Bourdeaux is a consultant in intensive care medicine and clinical director of critical care at University Hospitals Bristol & Weston NHS Foundation Trust. He leads a team of data scientists, NHS data analysts, and clinicians conducting research on routinely collected intensive care data.
Steve Harris is a Principal Research Fellow in Translational Data Science at UCL, an NHS Consultant in Critical Care, and the Chief Research Information Officer at UCLH Biomedical Research Centre. He has held fellowships from Wellcome, and the Health Foundation, and won more than £10m in grant funding. He is Co-Director of the Central London NIHR Patient Safety Research Collaborative, and co-investigator for CHIMERA, the Wellcome Innovation Flagship Critical Care Asia, and co-leads the NIHR Health Informatics Collaborative for Critical Care. At UCLH, he led the implementation of the Experimental Medicine Application Platform (EMAP) and FlowEHR that aim to bridge the 'AI chasm', and deliver algorithms and inference to the bedside.
Ben is a post-CCT fellow in critical care and anaesthesia at the Royal Marsden Hospital. He completed a PhD in AI for healthcare at Imperial College London, and his research focuses on extracting human-interpretable patterns from routinely collected healthcare data to predict clinical outcomes.
Dr. Chris Tomlinson is a Clinician Scientist and AI+ Academic Senior Fellow at King’s College London, with a background in Anaesthesia and Intensive Care. His research integrates large-scale electronic health records, epidemiology, and artificial intelligence to address fundamental challenges in medicine. Dr. Tomlinson’s portfolio includes pioneering work in proteomic machine learning for drug discovery and the development of clinically-aligned generative AI for tasks such as automated discharge summarization. Notably, he led Foresight-England, a world-first initiative that developed a population-scale generative AI model for COVID-research from the records of 57 million individuals. His research is frequently featured in leading medical journals and has informed health policy and clinical guidelines internationally.