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Artwork for JAMA+ AI Conversations

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
Medicine
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 monthlyEpisodes70Founded2 years ago
Number of ListenersCategories
Health & FitnessMedicineScience

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Artwork for JAMA+ AI Conversations

Latest Episodes

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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Why can signals that appear consistent across many studies still reflect shared bias; how do sibling comparisons help recalibrate cumulative evidence; and what AI-enabled approaches can add to large-scale evidence integration? Viktor H. Ahlqvist, PhD... more

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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 gro... more

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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 Yuli... more

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Recent Guests

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"
Eric Horvitz
Chief Scientific Officer at Microsoft
Microsoft
Episode: Designing AI for Uncertainty: A Conversation With Eric Horvitz
Ajamete Kaykas
Chief Exploration Officer and Head of Neuroscience at Insitro
Insitro
Episode: AI for Drug Discovery

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

Chart Rankings

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Talking Points

Recent interactions between the hosts and their guests.

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.
Leaping Forward Into… What? An Interview With Dr Robert Wachter
Q: So, when you talk about platforms in healthcare, do you mean just the EHR, or a broader integrated suite of tools that ties together scribes, chart summarization, and decision support?
Platforms are an integrated suite that includes the EHR as the foundational data layer, but the real value comes from cohesive, interoperable tools—scribes, chart summarization, decision support, and back-office functions—that work together within that core system to avoid a fragmented workflow.
Chatting With a Chatbot: The History of the First Clinical Chatbots, Straight From an LLM
Q: What was the philosophical conflict between Colby and Weizenbaum?
Colby was open to exploring computers in therapy, while Weizenbaum was cautious about machines taking on emotional tasks.

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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. Not Otherwise Specified
5. JAMA Clinical Reviews

How many episodes of JAMA+ AI Conversations are there?

JAMA+ AI Conversations launched 2 years ago and published 70 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. Sandro Galea
2. Viktor H. Ahlqvist
3. Fang Yang
4. John Torous
5. Robert Wachter
6. Adam Rodman
7. David Wu
8. Eric Horvitz

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