Explore every episode of the podcast JAMA+ AI Conversations
| Title | Pub. Date | Duration | |
|---|---|---|---|
| Will Women Physicians Face an AI Gap? | 28 Sep 2026 | 00:21:35 | |
In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Rochelle Walensky, MD, MPH, professor of medicine at Harvard Medical School and former CDC Director, discuss the potential for AI deployment in health care to adversely impact women physicians, and why simply avoiding these technologies is not a realistic response. | |||
| Beyond the AI Alarm: How ARPA-H Is Rethinking Innovation in Health Care | 24 Sep 2026 | 00:15:36 | |
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-centered design and what it will take to safely move AI from promising models to real-world care.
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| From Aging to AI and Beyond: A Conversation With Eric Topol | 10 Sep 2026 | 00:23:08 | |
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 some well-validated imaging AI remains underused while large language models have spread rapidly, and whether AI is actually giving clinicians more time with patients. | |||
| ADVOCATing for Patients With Heart Failure | 27 Aug 2026 | 00:22:05 | |
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 Projects Agency for Health, responsible for ADVOCATE, an effort to support the development of AI to guide heart failure treatment, seeking to create AI agents that can pass muster with the FDA. | |||
| Enriching Clinical Trials With Machine Learning | 13 Aug 2026 | 00:19:56 | |
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 with different responses to help plan and analyze future trials. | |||
| From the JAMA Network: Acoustic Analysis of Primary Care Patient–Clinician Conversations to Screen for Cognitive Impairment | 30 Jul 2026 | 00:22:52 | |
Interview with Joseph T. Colonel, PhD, author Acoustic Analysis of Primary Care Patient–Clinician Conversations to Screen for Cognitive Impairment. Hosted by Cynthia E. Armand, MD. | |||
| From the JAMA Network: AI Scribes Are Here, but Is Health Care Ready? | 16 Jul 2026 | 00:41:17 | |
The rise in use and function of ambient AI scribes is arguably one of the fastest technologic changes ever seen in health care. In this episode of Healthy Dialogue, host Derek Angus, MD, MPH, is joined by Vincent Liu, MD, MS, Chief Data Officer of The Permanente Medical Group in Kaiser Permanente, to discuss the rapidly changing world of ambient AI. | |||
| From Silicon Valley to the Vatican: The Expanding Debate on AI Ethics | 01 Jul 2026 | 00:21:56 | |
In this episode of JAMA+ AI Conversations, Roy Perlis, MD, MSc, and Yulin Hswen, ScD, MPH, discuss Anthropic's participation in the Vatican presentation of Pope Leo XIV's AI encyclical, Magnifica Humanitas. The conversation explores AI ethics, interpretability, governance, AI safety, and the growing role of health care, public health, and global institutions in shaping the future of AI. | |||
| The Wizard of Oz in Medical AI | 17 Jun 2026 | 00:19:46 | |
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 Research, speaks with JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, about what is behind the curtain in these AI systems. | |||
| Teaching AI to Read Patient Histories | 04 Jun 2026 | 00:20:31 | |
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, ScD, MPH, to explore how researchers are building AI systems that can read and understand a patient's full medical history in seconds. | |||
| Designing Trustworthy Clinical AI | 21 May 2026 | 00:16:45 | |
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 of AI on clinical care. | |||
| AI at the Policy Table | 07 May 2026 | 00:25:50 | |
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 Health Forum, about how AI is entering health policy, when it is ready for use, and what rigorous, policy-focused AI research is most needed. | |||
| AI Drug Safety in Pregnancy | 23 Apr 2026 | 00:19:37 | |
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, from the Karolinska Institute joins JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, to discuss why automated drug safety surveillance during pregnancy is urgently needed and how AI and computation can strengthen or undermine causal inference. | |||
| Understanding Disease Trajectories With AI | 09 Apr 2026 | 00:20:35 | |
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. | |||
| AI Chatbots and Youth Mental Health | 26 Mar 2026 | 00:24:07 | |
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. | |||
| Leaping Forward Into… What? An Interview With Dr Robert Wachter | 12 Mar 2026 | 00:24:24 | |
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. | |||
| AI and "Do No Harm" | 26 Feb 2026 | 00:23:21 | |
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. | |||
| Stumbling Toward AI in the Clinic | 12 Feb 2026 | 00:18:12 | |
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. | |||
| Chatting With a Chatbot: The History of the First Clinical Chatbots, Straight From an LLM | 29 Jan 2026 | 00:12:13 | |
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. | |||
| Seeing Health Through the Eye and AI | 15 Jan 2026 | 00:21:29 | |
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.
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| Multiple Reasoning Models and the Future of AI Chatbots | 30 Dec 2025 | 00:17:48 | |
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. | |||
| Discussing the Latest Research in AI and Health | 18 Dec 2025 | 00:19:55 | |
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. | |||
| Designing AI for Uncertainty: A Conversation With Eric Horvitz | 20 Nov 2025 | 00:26:48 | |
How can AI systems reason safely in the open world of medicine? JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, talks with Eric Horvitz, MD, PhD, Chief Scientific Officer at Microsoft, about the future of AI in 5 years to 100 years, from neurons to the nebulous, and how we can guide AI to be copilots while maintaining integrity and safety in the clinical arena. | |||
| AI for Drug Discovery | 06 Nov 2025 | 00:15:07 | |
Will AI usher in a new era of rapid drug discovery? In this episode of JAMA+ AI Conversations, Editor in Chief Roy Perlis interviews Ajamete Kaykas, Chief eXploration Officer at Insitro, a biotech company looking to apply AI to develop new therapeutics. | |||
| AI, Health, and Health Care | 13 Oct 2025 | 00:32:57 | |
Derek Angus, MD, MPH, joins JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, to discuss a special communication from JAMA Summit: Artificial Intelligence. | |||
| AI, Health Care, and What to Expect in 2026 | 09 Oct 2025 | 00:42:51 | |
How will 2026 shape the world of AI in health? Editor in Chief Roy Perlis and Associate Editor Yulin Hswen discuss in this special episode marking one year since the launch of JAMA+ AI. Hosted by Roy H. Perlis, MD, MSc and Yulin Hswen, ScD, MPH.
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| Maintaining Safety and Trust When Patients Engage Google: A Conversation With Dr Michael Howell | 18 Sep 2025 | 00:19:05 | |
How is Google Search evolving with AI and how do we ensure that language models maintain safety? JAMA+ AI Editor in Chief Roy Perlis, MD, talks with Michael Howell, MD, chief health officer at Google, about how he aims to balance innovation and safety in AI-driven medicine, building on his own work in hospital-based quality and safety. | |||
| AI in Women's Health | 05 Sep 2025 | 00:22:01 | |
In this special edition of JAMA+ AI Conversations, editor in chief Roy Perlis is joined by Linda Brubaker, editor in chief of JAMA+ Women's Health and deputy editor at JAMA. They speak with Linda Moy, inaugural vice chair of AI for the NYU Department of Radiology and former editor of Radiology, about the opportunities and risks of applying AI in medical imaging. Will these new tools be a net positive for women's health? | |||
| Navigating Transparency and Trust With AI in Health Care | 21 Aug 2025 | 00:18:08 | |
Michelle Mello, JD, PhD, MPhil, professor of law and health policy at Stanford University, joins JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, to discuss her recently published JAMA Perspective that lays out a framework for when and how health care organizations should disclose AI use to patients. Dr Mello shares insights on the importance of patient trust and surveys that suggest many patients currently mistrust the use of AI in their care. | |||
| Changing Opinions About AI in Health Care | 07 Aug 2025 | 00:22:06 | |
In this episode of JAMA+ AI Conversations, Microsoft CMO David Rhew, MD, discusses his journey from clinical practice to technology leadership, rapid progress in AI, its potential impacts on health care, and the challenges and opportunities that lie ahead for clinicians and researchers. | |||
| From the JAMA Network: Socially Assistive Robots, Part 2 | 05 Aug 2025 | 00:21:45 | |
In this follow-up to a 2017 interview with JAMA Medical News, the University of Southern California's Maja Matarić, PhD, the computer scientist who pioneered the field of socially assistive robotics, discusses how artificial intelligence is advancing the field in areas ranging from autism to physical rehabilitation to anxiety and depression. | |||
| Can AI Improve Cost-Effectiveness of 3D Total-Body Photography? | 24 Jul 2025 | 00:13:49 | |
3D total-body photography is used to detect lesions and melanoma in patients at high risk of developing skin cancer. The cost-effectiveness of this technology was examined in a recent study published in JAMA Dermatology. Roy Perlis, Editor in Chief of JAMA+ AI, joins economist Daniel Lindsay, PhD, to discuss the clinical and economic outcomes of this recent study. | |||
| Checking in Between Checkups: An AI App to Track Asthma Symptoms | 10 Jul 2025 | 00:13:19 | |
Despite recommendations from health care professionals, most patients with asthma do not track their symptoms, leaving limited data to help them discuss care options with their clinicians. JAMA Associate Editor Yulin Hswen, ScD, MPH, spoke with Robert S. Rudin, PhD, a senior information scientist at RAND, and a professor of policy analysis at the Pardee RAND Graduate School, about a randomized clinical trial published in JAMA Network Open examining the potential benefits of using AI for between-visit asthma symptom monitoring. | |||
| Harnessing AI and Genomics in Clinical Trial Enrollment | 26 Jun 2025 | 00:15:09 | |
The Dana-Farber Cancer Institute (DFCI)'s MatchMiner tool was developed to increase historically low clinical trial enrollment rates in adults with cancer. Roy Perlis, MD, MSc, Editor in Chief of JAMA+ AI, spoke with Kenneth Kehl, MD, MPH, about his recent study published in JAMA Network Open evaluating the AI tool's ability to fulfill its purpose through genome sequencing. | |||
| AI-Based Analysis for Parkinsonism | 13 Jun 2025 | 00:11:48 | |
Delaying diagnosis of parkinsonism can mean delaying care. In a study recently published in JAMA Neurology, David Vaillancourt, PhD, and colleagues tested the ability of an AI model to differentiate between Parkinson disease and other neurodegenerative disorders when paired with MRI. He joins JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH to discuss. | |||
| Should Employers Offer Digital Mental Health Programs to Support Workforce Well-Being? | 29 May 2025 | 00:21:55 | |
Employer-sponsored digital health solutions help patients with behavioral health conditions increase workplace productivity. Yulin Hswen, ScD, MPH, Associate Editor of JAMA+ AI, spoke with Molly Candon, PhD, and Adam Chekroud, PhD, about their recent work published in JAMA Network Open evaluating the financial return on investment for companies participating in these AI health care programs. | |||
| When Do Nudges Help? | 16 May 2025 | 00:21:35 | |
Susan Athey, PhD, of Standford University joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss her research on machine learning to target behavioral nudges for college students and their potential implications for health care. | |||
| Real-World Performance of AI in Screening for Diabetic Retinopathy | 18 Apr 2025 | 00:16:25 | |
Diabetic retinopathy remains a leading cause of preventable blindness worldwide, and AI may facilitate screening, if such models continue to perform well when they are deployed in the real world. Coauthors Arthur Brant, MD, of Stanford University, and Sunny Virmani, MS, of Google join JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss a new study published in JAMA Network Open. | |||
| Can Open-Source LLMs Compete With Proprietary Ones for Complex Diagnoses? | 04 Apr 2025 | 00:18:12 | |
A recent study published in JAMA Health Forum suggests that institutions may be able to deploy custom open-source large language models (LLMs) that run locally without sacrificing data privacy or flexibility. Coauthors Thomas A. Buckley, BS, and Arjun K. Manrai, PhD, from the Department of Biomedical Informatics at Harvard Medical School join JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss. | |||
| Rethinking Race in Prenatal Screening for Open Neural Tube Defects | 28 Mar 2025 | 00:15:49 | |
Correction: This podcast has been updated to add additional context on the frequency of false positives. | |||
| AI's Role in Advancing Equity for Individuals With Developmental Disabilities | 21 Mar 2025 | 00:14:23 | |
Artificial intelligence (AI) in health care is advancing, despite concerns about how its use may impact health disparities. Dimitri Christakis, MD, MPH, chief health officer at Special Olympics, joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss AI's potential role in improving health care delivery for people with intellectual and developmental disabilities. | |||
| Prescreening for Clinical Trial Eligibility Using Large Language Models | 14 Mar 2025 | 00:12:06 | |
A recent study showed AI-assisted screening using a large language model tool reduced time to determine trial eligibility compared with manual methods. Author Alexander J. Blood, MD, MSc, cardiologist at Brigham and Women's Hospital, and Associate Director of the Accelerator for Clinical Transformation Research Group at Harvard Medical School joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss this topic and more. | |||
| Machine Learning for Earlier Diagnosis of Schizophrenia | 07 Mar 2025 | 00:16:59 | |
In a recent study published in JAMA Psychiatry, researchers reported that a machine learning model was able to stratify risk for subsequent diagnosis of schizophrenia or bipolar disorder among individuals already receiving psychiatric treatment. Coauthor Søren Dinesen Østergaard, PhD, of Aarhus University in Denmark joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss. | |||
| Language Equity in Health Technology | 28 Feb 2025 | 00:19:54 | |
AI can play a role in addressing language barriers in health care. In a recent Editorial in JAMA Network Open, Pilar Ortega, MD, MGM, of the University of Illinois College of Medicine, and coauthors emphasized the urgent need for integrating language equity into digital health solutions. Dr Ortega joins JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, to discuss. | |||
| AI Guided Diagnostic-Quality Lung Ultrasound | 21 Feb 2025 | 00:11:28 | |
Lung ultrasound aids in the diagnosis of patients with dyspnea but requires technical proficiency for image acquisition. Cristiana Baloescu, MD, MPH, of Yale School of Medicine, joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss a new study published in JAMA Cardiology evaluating the ability of AI to guide acquisition of diagnostic-quality lung ultrasound images by trained health care professionals. | |||
| Diagnosis and Treatment of Infectious Disease Using AI | 14 Feb 2025 | 00:17:39 | |
A recent study in JAMA Network Open evaluates the use of machine learning algorithms to assess the management of urinary tract infection (UTI). Author Sanjat Kanjilal, MD, MPH, professor in the Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Healthcare Institute, joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss this topic and more. | |||
| Older Adults' Use of Digital Health Technology | 07 Feb 2025 | 00:16:41 | |
Digital health technologies, including patient portals, are widely used by older adults, as described in a recent study published in JAMA Network Open. Author Cornelius James, MD, of the University of Michigan joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss the study and how it fits with his own experience in the clinic. | |||
| Patient Satisfaction With AI-Generated Responses | 31 Jan 2025 | 00:18:43 | |
How do patients feel about the quality of AI-generated responses to their messages to clinicians? Author Eleni Linos, MD, DrPH, of Stanford joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss her recent study in JAMA Network Open that characterized satisfaction with these messages. | |||
| Drafting Replies to Patient Messages With AI | 24 Jan 2025 | 00:20:08 | |
The burden of responding to clinician inbox messages may be a contributor to burnout. Eden English, MD, of UCHealth joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss her recent study published in JAMA Network Open, which examined the use of large language models to reply to patient messages. | |||
| Bioethics and AI | 17 Jan 2025 | 00:15:27 | |
With accelerating global adoption of AI, countries are developing ethical AI frameworks to prevent harm to the most vulnerable populations. Maria Villalobos-Quesada, PhD, from the National eHealth Living Lab (NeLL) in the Netherlands and the Observatory of Bioethics and Law of the University of Barcelona, discusses this and more with JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH. *Author image and affiliations updated February 4, 2025. | |||