# Episode 2: A Pathologist's Guide to the AI Transition Page: https://stenobird.com/podcast/from-models-to-medicine-7769799/episode-2-a-pathologist-s-guide-to-the-ai-transition Text version: https://stenobird.com/podcast/from-models-to-medicine-7769799/episode-2-a-pathologist-s-guide-to-the-ai-transition.md Podcast: [From Models to Medicine](https://stenobird.com/podcast/from-models-to-medicine-7769799) Published: 2026-03-25T20:00:12+00:00 Episode link: https://podcasters.spotify.com/pod/show/kami-think-tank/episodes/Episode-2-A-Pathologists-Guide-to-the-AI-Transition-e3gvhkj Audio file: https://anchor.fm/s/110164688/podcast/play/117474387/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-2-25%2F95261a3c-fdfb-4724-cf37-3368b21669f6.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/from-models-to-medicine-7769799/episodes/episode-2-a-pathologist-s-guide-to-the-ai-transition Duration seconds: 1214 ## Resource 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. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/from-models-to-medicine-7769799/episodes/episode-2-a-pathologist-s-guide-to-the-ai-transition/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/from-models-to-medicine-7769799/episode-2-a-pathologist-s-guide-to-the-ai-transition.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.