Distinguished Lecture: Delivering Measurable Patient Outcomes with AI

A distinguished lecture at the Bayes Centre from the UKRI AI Centre for Doctoral Training in Biomedical Innovation, on delivering measurable patient outcomes with AI rather than promising them. The framing is the gap that has opened in medical AI between model performance and anything a clinician or health system can point to as a result. Expect evaluation, deployment and evidence rather than architecture. Free, from 17:00 at the Bayes Centre on Potterrow, with the CDT's doctoral researchers in the audience alongside clinical and industry attendees. Why go: health AI is the field with the widest distance between demo and outcome, and a CDT lecture is where that distance gets measured out loud. Best for people building clinical or health-adjacent AI, researchers heading toward translation, and anyone who has to justify a medical AI product to a buyer.