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JAMA+ AI Conversations

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

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 monthlyEpisodes80Founded2 years ago
Number of ListenersCategories
MedicineHealth & FitnessScience

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Artwork for JAMA+ AI Conversations

Latest Episodes

Yulin Hswen, ScD, MPH, Associate Editor of JAMA+ AI, speaks with Advanced Research Projects Agency for Health (ARPA-H) Program Manager Bon Ku, MD, MPP, about rethinking AI in health care from alarm fatigue and aviation-style simulation to patient-cen... more

In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Eric Topol, MD, move from the science of aging to how to think about AI-enabled medicine. Topol discusses what it will take for AI to move medicine from reactive to predictive, why s... more

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In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Haider Warraich, MD, sort out the prospects for AI-driven heart failure care that doesn't entail a human in the loop. Warraich is a program manager at ARPA-H, the Advanced Research P... more

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In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Joseph Geraci, PhD, of Queen's University discuss using machine learning to analyze clinical trials and related FDA interactions. Geraci's work focuses on identifying subpopulations ... more

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Recent Guests

Bon Ku
Program Manager at ARPA-H focusing on healthcare design, technology, and transformative innovation
ARPA-H
Episode: Beyond the AI Alarm: How ARPA-H Is Rethinking Innovation in Health Care
Eric Topol
Cardiologist and Founder/Director of the Scripps Research Translational Institute
Scripps Research Translational Institute
Episode: From Aging to AI and Beyond: A Conversation With Eric Topol
Haider Warraich
Heart failure cardiologist, Program Manager at ARPA-H
ARPA-H
Episode: ADVOCATing for Patients With Heart Failure
Joseph Geraci
Associate Professor in Pathology and Molecular Medicine at Queen's University
Queen's University
Episode: Enriching Clinical Trials With Machine Learning
Dr. Joseph Colonel
Researcher focusing on applications of machine learning and automated audio analysis to biomedical problems
Mount Sinai Hospital, ICAN School of Medicine; Queen Mary University of London (PhD)
Episode: From the JAMA Network: Acoustic Analysis of Primary Care Patient–Clinician Conversations to Screen for Cognitive Impairment
Vinny Liu
Editor and featured author on AI scribes; leader in implementing ambient AI in health care
Kaiser Permanente / Permanente Medical Group
Episode: From the JAMA Network: AI Scribes Are Here, but Is Health Care Ready?
Yun Liu
Senior Staff Research Scientist in Google Research
Google Research
Episode: The Wizard of Oz in Medical AI
Dr. Nigam Shah
Professor of Medicine and Chief Data Scientist at Stanford Health
Stanford Health / Stanford University
Episode: Teaching AI to Read Patient Histories
Emily Tat
Cardiology Fellow at Columbia University Medical Center
Columbia University Medical Center
Episode: Designing Trustworthy Clinical AI

Hosts

Derek Angus
Host of Healthy Dialogue, senior editor at JAMA
Roy Perlis
Editor-in-Chief of JAMA Plus AI
Yulin Hswen
Associate Editor of JAMA and JAMA Plus AI; hosts various AI conversations in medicine

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Talking Points

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Beyond the AI Alarm: How ARPA-H Is Rethinking Innovation in Health Care
Q: What would be an ideal training or evaluation system for medical AI?
An ideal system would include a flight-simulator-like environment for AI in medicine, with standardized procedures, supervisory oversight, and metrics that reflect safe patient outcomes across the full care journey.
Beyond the AI Alarm: How ARPA-H Is Rethinking Innovation in Health Care
Q: What is ARPA-H most excited about in AI right now?
ARPA-H is focused on testing AI's future autonomy like a physician would be tested, using rigorous evaluation frameworks and real-time, patient-centered outcomes to ensure safety and efficacy before widespread adoption.
From Aging to AI and Beyond: A Conversation With Eric Topol
Q: How do you balance optimism with skepticism about AI in medicine?
By demanding absolute validation and hard evidence for AI applications, recognizing where AI can add real diagnostic and treatment power while guarding against de-skilling and premature adoption; we must push for rigorous trials and meaningful integration into care.
From Aging to AI and Beyond: A Conversation With Eric Topol
Q: Why aging?
Aging is the next big frontier because AI can enable prevention of major diseases and shift focus toward interventions that reduce age-related disease burden, which is more attainable and impactful than pursuing unproven anti-aging shortcuts.
ADVOCATing for Patients With Heart Failure
Q: In your own practice, what AI tools do you use?
I use a mix of general frontier models and specialized tools like OpenEvidence for clinical decision support and generating hypotheses; I also rely on AI to review proposals and assist with research, while I avoid using AI for writing or editing my own posts to preserve accountability and human authorship.

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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?

The show frames AI as a transformative force in medicine, hosting clinicians, researchers, and policy-focused voices to explore how artificial intelligence reshapes clinical practice, medical training, and health systems. Across episodes, conversations center on AI-assisted care, evaluation and safety of AI tools in real-world settings, data privacy and interoperability, and governance and regulatory considerations. A recurring strength is bringing together frontline clinicians with AI researchers to discuss practical design principles, evidence needs, and human–AI collaboration, often highlighting risks such as automation bias, disparities in usefulness, and the importance of preserving human judgment. The format tends to blend case studie... 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. JAMA Clinical Reviews
5. Annals On Call Podcast

How many episodes of JAMA+ AI Conversations are there?

JAMA+ AI Conversations launched 2 years ago and published 80 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. Bon Ku
2. Eric Topol
3. Haider Warraich
4. Joseph Geraci
5. Dr. Joseph Colonel
6. Vinny Liu
7. Yun Liu
8. Dr. Nigam Shah

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