Michael Gensheimer, Radiation Oncologist at Stanford University School of Medicine, shared a post on LinkedIn:
“Here are the slides from my talk on the future of learning from retrospective data using AI, with examples in oncology, that I recently gave at the Stanford AI Medicine Symposium organized by Lei Xing.
In which I claim that the current approaches from OpenEvidence, Vera Health, and Atropos Health, while very impressive and impactful, will not get us all the way to reliable personalized treatment recommendations, and propose a way forward.
P.S. Thanks to Nataliya Kovalchuk for live-posting about the talk from the conference!”
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