# AI’s Next Frontier with Dr. Kyunghyun Cho Page: https://stenobird.com/podcast/nejm-ai-grand-rounds-5875765/ai-s-next-frontier-with-dr-kyunghyun-cho Text version: https://stenobird.com/podcast/nejm-ai-grand-rounds-5875765/ai-s-next-frontier-with-dr-kyunghyun-cho.md Podcast: [NEJM AI Grand Rounds](https://stenobird.com/podcast/nejm-ai-grand-rounds-5875765) Published: 2026-03-18T13:00:00+00:00 Episode link: https://ai-podcast.nejm.org/e/ai-s-next-frontier-with-dr-kyunghyun-cho/ Audio file: https://mcdn.podbean.com/mf/web/zhgbg3c9fpgs7h2e/Episode_40_Cho.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/nejm-ai-grand-rounds-5875765/episodes/ai-s-next-frontier-with-dr-kyunghyun-cho Duration seconds: 4036 ## Resource Dr. Kyunghyun Cho is a leading AI researcher best known for co-authoring a landmark 2014 paper that introduced neural machine translation. In this episode, he discusses his wide-ranging career spanning fundamental AI research, co-founding Prescient Design (acquired by Genentech), and driving applications of AI in health care. For clinicians, Cho’s core message is pragmatic: AI should help health care run better. After years of work at NYU Langone, he reframed AI in medicine from solving rare diagnostic puzzles to improving operational prediction at scale. Cho emphasizes purpose‑built data, careful fine‑tuning, and regulatory accountability. His perspective connects technical rigor with system stewardship—and insists that patient voices must be present in AI governance. Transcript. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/nejm-ai-grand-rounds-5875765/episodes/ai-s-next-frontier-with-dr-kyunghyun-cho/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/nejm-ai-grand-rounds-5875765/ai-s-next-frontier-with-dr-kyunghyun-cho.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.