Episode

Episode 2: A Pathologist's Guide to the AI Transition

Podcast
From Models to Medicine
Published
Mar 25, 2026
Duration seconds
1214
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/kami-think-tank/episodes/Episode-2-A-Pathologists-Guide-to-the-AI-Transition-e3gvhkj
Audio
https://anchor.fm/s/110164688/podcast/play/117474387/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-2-25%2F95261a3c-fdfb-4724-cf37-3368b21669f6.mp3
JSON
/v1/public/podcasts/from-models-to-medicine-7769799/episodes/episode-2-a-pathologist-s-guide-to-the-ai-transition
Markdown
/podcast/from-models-to-medicine-7769799/episode-2-a-pathologist-s-guide-to-the-ai-transition.md

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Summary

As pathology labs digitize, how do skilled practitioners learn to trust AI with patient diagnoses? Michael Rivers discusses the critical importance of "explainable AI," keeping the human pathologist in the loop with the ability to override algorithms, and how these powerful new technologies will help address the global shortage of pathologists, ultimately bringing equitable, expert care to patients worldwide.