JAMA+ AI Conversations

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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. Understanding Disease Trajectories With AI

    9 DE ABR.

    Understanding Disease Trajectories With AI

    How might AI amplify epidemiological insight into neurodegenerative and systemic disease? JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, speaks with Fang Fang, MD, PhD, professor at Karolinska Institutet and head of the Integrative Epidemiology group. Drawing on Fang Fang's work in ALS, Parkinson disease, dementia, energy metabolism, immune modulation, and gut microbiome interactions, their conversation probes how AI methods might help map disease trajectories, identify prognostic markers, and ultimately support precision prevention and translational research, while preserving scientific rigor and interpretability. Related Content: AI and the Epidemiology of Complex Disease

    21 min
  2. AI Chatbots and Youth Mental Health

    26 DE MAR.

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

    12 DE 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
  4. AI and "Do No Harm"

    26 DE FEV.

    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
  5. Stumbling Toward AI in the Clinic

    12 DE FEV.

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

    29 DE JAN.

    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
  7. Seeing Health Through the Eye and AI

    15 DE JAN.

    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
  8. 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
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Sobre

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.

Informações

  • Criado por
    JAMA Network
  • Anos de atividade
    2024 - 2026
  • Episódios
    68
  • Classificação
    Livre
  • Copyright
    Copyright © 2024 American Medical Association. All Rights Reserved.
  • Site do podcast
    JAMA+ AI Conversations

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