{"podcast":{"title":"NEJM AI Grand Rounds","slug":"nejm-ai-grand-rounds-5875765","podcast_index_feed_id":5875765,"rss_url":"https://ai-podcast.nejm.org/feed.xml","website_url":"https://ai-podcast.nejm.org","image_url":"https://pbcdn1.podbean.com/imglogo/image-logo/14988821/NEJM_AIGR_ID_RGB-3000.jpg","author":"NEJM Group","episode_count":45,"summary":"NEJM AI Grand Rounds, hosted by Arjun (Raj) Manrai, Ph.D. and Andrew Beam, Ph.D., features informal conversations with a variety of unique experts exploring the deep issues at the intersection of artificial intelligence, machine learning, and medicine. You’ll learn how AI will change clinical practice and healthcare, how it will impact the patient experience, and about the people who are pushing for innovation. Whether you are an AI researcher or a practicing clinician, these conversations will enlighten and surprise you as we journey through this very exciting field. Produced by NEJM Group.","last_synced_at":"2026-07-16T02:32:40.891583+00:00","page_url":"https://stenobird.com/podcast/nejm-ai-grand-rounds-5875765"},"episode":{"title":"AI’s Next Frontier with Dr. Kyunghyun Cho","slug":"ai-s-next-frontier-with-dr-kyunghyun-cho","published_at":"2026-03-18T13:00:00+00:00","page_url":"https://stenobird.com/podcast/nejm-ai-grand-rounds-5875765/ai-s-next-frontier-with-dr-kyunghyun-cho","show_page_url":"https://stenobird.com/podcast/nejm-ai-grand-rounds-5875765","url":"https://ai-podcast.nejm.org/e/ai-s-next-frontier-with-dr-kyunghyun-cho/","audio_url":"https://mcdn.podbean.com/mf/web/zhgbg3c9fpgs7h2e/Episode_40_Cho.mp3","summary":"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.","meta_description":"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…","key_points":[],"chapters":[],"topics":[],"duration_seconds":4036,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/nejm-ai-grand-rounds-5875765/episodes/ai-s-next-frontier-with-dr-kyunghyun-cho/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/nejm-ai-grand-rounds-5875765/ai-s-next-frontier-with-dr-kyunghyun-cho.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}