JAMA+ AI Conversations

JAMA Network
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Discover the future of medicine with JAMA+ AI Conversations. This collection of interviews with clinicians, researchers, and AI experts explores how AI is impacting medicine – from clinical practice to training and research. Join us to uncover what lies ahead at the intersection of AI and medicine.

  1. AI Chatbots and Youth Mental Health

    3 GG FA

    AI Chatbots and Youth Mental Health

    What are the safety, evidence standards, and transparency needed for AI chatbots used in mental health contexts, particularly for young people. John Torous, MD, MBI, JAMA Psychiatry Author Interviews podcast host, joins JAMA+ AI Associate Editor Yulin Hswen, ScD, to discuss risks, data protections, and the clinical safeguards required to ensure responsible use. Related Content: AI Chatbots and Youth Mental Health

    24 min
  2. Leaping Forward Into… What? An Interview With Dr Robert Wachter

    12 MAR

    Leaping Forward Into… What? An Interview With Dr Robert Wachter

    Dr Robert Wachter, chair of the Department of Medicine at UC San Francisco, speaks with JAMA+ AI Editor in Chief Roy Perlis about his new book, "A Giant Leap." Their discussion addresses multiple potential impacts of AI in medicine in terms of clinical practice but also training the next generation of clinicians. Related Content: Leaping Forward Into…What?—An Interview With Robert M. Wachter

    24 min
  3. AI and "Do No Harm"

    26 FEB

    AI and "Do No Harm"

    In this episode, JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, speaks with David Wu, MD, PhD, and Adam Rodman, MD, MPH, about what safe clinical use of LLMs requires. Drawing on the framework of Do No Harm, they examine failure modes, limits of accuracy-based evaluation, clinician AI interaction, and safeguards needed as medical AI moves into patient care. Related Content: From AI Bench to AI Bedside

    23 min
  4. Stumbling Toward AI in the Clinic

    12 FEB

    Stumbling Toward AI in the Clinic

    In this episode of JAMA+ AI Conversations, Editor in Chief Roy Perlis and Associate Editor Yulin Hswen debate recent articles highlighted in JAMA+ AI, including work on patient messaging and suicide screening, plus a call for more critical thinking in medicine. Related Content: Stumbling Toward AI in the Clinic

    18 min
  5. Chatting With a Chatbot: The History of the First Clinical Chatbots, Straight From an LLM

    29 GEN

    Chatting With a Chatbot: The History of the First Clinical Chatbots, Straight From an LLM

    A large language model (LLM) details the history of 2 early chatbots, ELIZA and PARRY, in conversation with JAMA+ AI Editor in Chief Roy Perlis. This podcast was recorded using OpenAI's ChatGPT in voice mode, via web interface, running on GPT-4o. Related Content: What Can 50-Year-Old Chatbots Teach Us About Clinical Applications of AI?

    12 min
  6. Seeing Health Through the Eye and AI

    15 GEN

    Seeing Health Through the Eye and AI

    Retinal images are becoming powerful windows into human health. Cecilia Lee, MD, MS, joins JAMA and JAMA+ AI Associate Editor Yulin Hswen to explore how AI-enhanced imaging reveals early disease signals, leverages large datasets, and shifts clinical practice in ophthalmology. Related Content: Insights From the Eye With AI

    21 min
  7. Multiple Reasoning Models and the Future of AI Chatbots

    30/12/2025

    Multiple Reasoning Models and the Future of AI Chatbots

    AI chatbots have advanced rapidly, incorporating new reasoning architectures that reshape decision-making and medical education. Jonathan Chen, MD, PhD, and Ethan Goh, MD, MS, of Stanford University join JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, to discuss the latest generation of AI models, the importance of evaluating benefits and harms, and sycophancy in AI systems. Related Content: Multiple Reasoning Models and the Future of AI Chatbots AI Chatbots in Clinical Practice Large Language Model Influence on Diagnostic Reasoning

    18 min
  8. Discussing the Latest Research in AI and Health

    18/12/2025

    Discussing the Latest Research in AI and Health

    JAMA+ AI Editor in Chief Roy Perlis and Associate Editor Yulin Hswen discuss some of the most cited AI papers in 2025 across the JAMA Network. A little bit of gen AI, some prediction models, and deep learning from videos as well as an increasing awareness of the challenges of real-world deployment. Related Content: AI and Health—The Year in Review

    20 min
Elenco completo (67)

Descrizione

Discover the future of medicine with JAMA+ AI Conversations. This collection of interviews with clinicians, researchers, and AI experts explores how AI is impacting medicine – from clinical practice to training and research. Join us to uncover what lies ahead at the intersection of AI and medicine.

Informazioni

  • Creatore
    JAMA Network
  • Anni di attività
    2024 - 2026
  • Puntate
    67
  • Classificazione
    Contenuti adatti a tutti
  • Copyright
    Copyright © 2024 American Medical Association. All Rights Reserved.
  • Sito web del podcast
    JAMA+ AI Conversations

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