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SUMMARY:The look of why: causality matters in medical imaging AI
DESCRIPTION:Join Professor Ben Glocker\, Professor in Machine Learning for 
 Imaging\, to discover how causality could help make medical imaging AI saf
 er\, fairer and more reliable. \nPlease register to attend in person. A li
 ve stream link for online attendance is available here. \nWe look forward
  to seeing you on Wednesday 14 October!\nImperial Inaugurals are term-ti
 me lectures that celebrate our newest Professors\, recognising their acade
 mic journey and showcasing their research.\nAbstract\nArtificial intellige
 nce is transforming medical imaging\, promising more accurate diagnosis\
 , earlier detection of disease\, and better clinical decision-making. But 
 the path from research prototype to trusted clinical tool remains diffic
 ult. AI systems can silently fail when new data differs from the data on w
 hich they were trained. Changes in patient populations\, imaging protocols
 \, and healthcare settings across geographic regions can cause distributio
 n shifts that undermine the reliability\, robustness\, and fairness of AI 
 predictions.\nIn this inaugural lecture\, Professor Ben Glocker explores 
 why causality matters for understanding when AI works and when it fails. H
 e will discuss the role of ‘what-if’ reasoning and the use of the late
 st causal generative models to create realistic counterfactual images that
  can stress-test AI systems\, expose blind spots\, and mitigate bias. Ult
 imately\, causality may be the missing ingredient that turns medical imag
 ing AI from a promising technology into a life-saving reality.\nBiography\
 nBen Glocker is a Professor in Machine Learning for Imaging at Imperial’
 s Department of Computing where he co-leads the Biomedical Image Analysis 
 Group. He holds a Royal Academy of Engineering Research Chair in Safe Depl
 oyment of Medical Imaging AI\, and also leads the Heartflow-Imperial Re
 search Lab. He received his PhD from TU Munich\, was a postdoc at Microsof
 t and a Research Fellow at the University of Cambridge. His research is at
  the intersection of medical imaging and artificial intelligence\, aiming 
 to build safe and ethical computational tools for improving image-based de
 tection and diagnosis of disease. \n\n\n\n
URL:https://www.imperial.ac.uk/events/212238/the-look-of-why-causality-matt
 ers-in-medical-imaging-ai/
DTSTART;TZID=Europe/London:20261014T173000
DTEND;TZID=Europe/London:20261014T183000
LOCATION:Lecture theatre 200\, City and Guilds Building\, South Kensington 
 Campus\, Imperial College London\, London\, SW7 2AZ\, United Kingdom
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