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JAMA+ AI Conversations

JAMA Network
Artificial Intelligence
AI In Healthcare
Machine Learning
Clinical Trials
Healthcare
Mental Health
Generative AI
Patient Care
Health Disparities
Cardiology
Electronic Health Records
Patient Outcomes
Suicide Prevention
Healthcare Communication
Healthcare Data
Early Warning Scores
Digital Health Technology
Patient Satisfaction
Neuroscience
Medicine

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.

PublishesTwice monthlyEpisodes73Founded2 years ago
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MedicineScienceHealth & Fitness

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Artwork for JAMA+ AI Conversations

Latest Episodes

Is it enough for AI to be accurate, or are we mistaking performance for impact? Does AI change clinician behavior, improve patient decisions, or simply create a convincing performance of intelligence? Yun Liu, PhD, research scientist at Google Resear... more

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Every patient has a story, but in modern health care that story is buried across thousands of notes, lab results, and fragmented records. Nigam H. Shah, MBBS, PhD, of Stanford University Department of Medicine joins JAMA Associate Editor Yulin Hswen,... more

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Join JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, for a conversation about the practical implementation of trustworthy clinical AI. Guests Emily Tat, MD, and Peter Brodeur, MD, discuss ARISE, a research network focused on the real-world effects o... more

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As artificial intelligence increasingly shapes population health decisions, evidence and accuracy matter. In this episode of JAMA+ AI Conversations, Associate Editor Yulin Hswen, ScD, MPH, speaks with Sandro Galea, MD, MPH, DrPH, Editor of JAMA Healt... more

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Recent Guests

Emily Tat
Cardiology Fellow at Columbia University Medical Center
Columbia University Medical Center
Episode: Designing Trustworthy Clinical AI
Peter Brodeur
Cardiology Fellow at Harvard Medical School's Beth Israel Deaconess Medical Center
Harvard Medical School, Beth Israel Deaconess Medical Center
Episode: Designing Trustworthy Clinical AI
Sandro Galea
Editor-in-Chief of JAMA Health Forum; Inaugural dean of the School of Public Health at Washington University in St. Louis
Washington University in St. Louis
Episode: AI at the Policy Table
Viktor H. Ahlqvist
Researcher in the Unit of Integrative Epidemiology, Institute of Environmental Medicine at the Karolinska Institute
Karolinska Institute
Episode: AI Drug Safety in Pregnancy
Fang Yang
Professor in the Institute of Environmental Medicine, Karolinska Institutet
Karolinska Institutet
Episode: Understanding Disease Trajectories With AI
John Torous
Psychiatrist and associate professor of psychiatry, Beth Israel Deaconess Medical Center
Beth Israel Deaconess Medical Center / JAMA Psychiatry
Episode: AI Chatbots and Youth Mental Health
Robert Wachter
Professor and Chair, UCSF Department of Medicine
University of California, San Francisco
Episode: Leaping Forward Into… What? An Interview With Dr Robert Wachter
Adam Rodman
General internist and Director of AI Programs at the Carl J. Shapiro Institute for Research and Education
Arise Network/JAMA+ AI Conversations
Episode: AI and "Do No Harm"
David Wu
Resident physician, Harvard Combined Dermatology Program at Mass General Brigham
Arise Network/JAMA+ AI Conversations
Episode: AI and "Do No Harm"

Hosts

Yulin Hswen
Host of JAMA Plus AI Conversations and related JAMA AI programs
Roy Perlis
Editor-in-Chief of JAMA Plus AI; frequent host

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Talking Points

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Designing Trustworthy Clinical AI
Q: How should AI interact with clinicians in real-world practice?
AI should complement human judgment by offering supportive insights while preserving the clinician's role in decision-making, emphasizing context, patient interaction, and subtle cues that AI may miss; the goal is a collaborative process that enhances diagnostic and treatment planning.
Designing Trustworthy Clinical AI
Q: What are the goals of ARISE and why did you join?
ARISE seeks to provide unbiased, evidence-based evaluations of clinical AI across contexts, from decision support to human-computer interaction, to help move the field away from hype and toward usable, patient-centered tools. Emily and Peter joined to shape how design can make AI understandable and trustworthy for clinicians and patients.
AI Drug Safety in Pregnancy
Q: How do AI models avoid learning from family structure or unmeasured confounders when using high-dimensional data?
By integrating classical epidemiological designs like sibling comparisons and negative controls with AI tools, and by employing causal discovery and targeted maximum likelihood estimation, to de-confound signals before they inform decisions.
AI Drug Safety in Pregnancy
Q: Okay, walk me through a 24-hour plan for how this could work in practice.
The idea is to have harmonized, accessible data and automated pipelines that can perform signal detection and validation quickly, using sibling comparisons and causal methods to ensure signals reflect true risk rather than confounding. While not a finished solution, the direction is to reduce a multi-year process to something closer to a short-term, automated workflow with expert review at key stages.
AI Chatbots and Youth Mental Health
Q: What is AI for mental health, and what is the federal government's role in this space?
AI for mental health is a growing field with many potential use cases, but it requires rigorous evidence and clear guardrails; the government's role is to ensure safety, privacy, and efficacy through thoughtful regulation and oversight.

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Frequently Asked Questions About JAMA+ AI Conversations

What is JAMA+ AI Conversations about and what kind of topics does it cover?

This show explores how AI is reshaping medicine, from clinical practice and safety to research and drug discovery. Conversations often feature physician-scientists, epidemiologists, and AI researchers who unpack real-world implications—how AI tools affect patient care, how to evaluate safety and effectiveness, and how data, governance, and ethics shape adoption. Episodes regularly surface practical considerations like bias, measurement of harm, regulatory perspectives, and the human-in-the-loop nature of medical AI. A notable thread is the blend of clinical insight with technology leadership from top medical journals and tech-affiliated health initiatives, offering both rigorous critique and actionable takeaways for practitioners, researche... more

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Which podcasts are similar to JAMA+ AI Conversations?

These podcasts share a similar audience with JAMA+ AI Conversations:

1. NEJM AI Grand Rounds
2. JAMA Medical News
3. JAMA Editors' Summary
4. Me, Myself, and AI
5. NEJM This Week

How many episodes of JAMA+ AI Conversations are there?

JAMA+ AI Conversations launched 2 years ago and published 73 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on JAMA+ AI Conversations?

Recent guests on JAMA+ AI Conversations include:

1. Emily Tat
2. Peter Brodeur
3. Sandro Galea
4. Viktor H. Ahlqvist
5. Fang Yang
6. John Torous
7. Robert Wachter
8. Adam Rodman

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