BEGIN:VCALENDAR
PRODID:-//eluceo/ical//2.0/EN
VERSION:2.0
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:3fca4ee393d57719eee4d8e97fd3d1bd
DTSTAMP:20260820T184520Z
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 will be available here shortly. \nWe
  look forward to seeing you on Wednesday 14 October!\nImperial Inaugurals
  are term-time lectures that celebrate our newest Professors\, recognisi
 ng their academic journey and showcasing their research.\nAbstract\nArtifi
 cial intelligence is transforming medical imaging\, promising more accura
 te diagnosis\, earlier detection of disease\, and better clinical decisio
 n-making. But the path from research prototype to trusted clinical tool r
 emains difficult. AI systems can silently fail when new data differs from
  the data on which they were trained. Changes in patient populations\, ima
 ging protocols\, and healthcare settings across geographic regions can cau
 se distribution shifts that undermine the reliability\, robustness\, and f
 airness of AI predictions.\nIn this inaugural lecture\, Professor Ben Glo
 cker explores why causality matters for understanding when AI works and wh
 en it fails. He will discuss the role of ‘what-if’ reasoning and the u
 se of the latest causal generative models to create realistic counterfactu
 al images that can stress-test AI systems\, expose blind spots\, and mitig
 ate bias. Ultimately\, causality may be the missing ingredient that turn
 s medical imaging AI from a promising technology into a life-saving realit
 y. \nBiography\nBen Glocker is a Professor in Machine Learning for Imagin
 g at Imperial’s Department of Computing where he co-leads the Biomedical
  Image Analysis Group. He holds a Royal Academy of Engineering Research Ch
 air in Safe Deployment of Medical Imaging AI\, and also leads the Heart
 flow-Imperial Research Lab. He received his PhD from TU Munich\, was a pos
 tdoc at Microsoft and a Research Fellow at the University of Cambridge. Hi
 s research is at the intersection of medical imaging and artificial intell
 igence\, aiming to build safe and ethical computational tools for improvin
 g image-based detection 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
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
DTSTART:20261014T173000
TZNAME:BST
TZOFFSETTO:+0100
TZOFFSETFROM:+0100
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR