Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Total monthly reach
Estimated from 5 chart positions in 5 markets.
By chart position
- 🇲🇽MX · Medicine#3630K to 100K
- 🇻🇳VN · Medicine#893K to 10K
- 🇷🇴RO · Medicine#132500 to 3K
- 🇫🇮FI · Medicine#162500 to 3K
- 🇳🇿NZ · Medicine#197500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
17K to 60K🎙 ~2x weekly·68 episodes·Last published 1w ago - Monthly Reach
Unique listeners across all episodes (30 days)
35K to 119K🇲🇽84%🇻🇳8%🇷🇴3%+2 more - Active Followers
Loyal subscribers who consistently listen
14K to 48K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
AI at the Policy Table
May 7, 2026
Unknown duration
AI Drug Safety in Pregnancy
Apr 23, 2026
Unknown duration
Understanding Disease Trajectories With AI
Apr 9, 2026
Unknown duration
AI Chatbots and Youth Mental Health
Mar 26, 2026
Unknown duration
Leaping Forward Into… What? An Interview With Dr Robert Wachter
Mar 12, 2026
Unknown duration
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| Date | Episode | Description | Length | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 5/7/26 |  AI at the Policy Table | 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. Related Content: AI at the Policy Table | — | ||||||
| 4/23/26 |  AI Drug Safety in Pregnancy | 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. Related Content: AI Drug Safety in Pregnancy | — | ||||||
| 4/9/26 |  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 | — | ||||||
| 3/26/26 |  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 | — | ||||||
| 3/12/26 |  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 | — | ||||||
| 2/26/26 |  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 | — | ||||||
| 2/12/26 |  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 | — | ||||||
| 1/29/26 |  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? | — | ||||||
| 1/15/26 |  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 | — | ||||||
| 12/30/25 |  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 | — | ||||||
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| 12/18/25 |  Discussing the Latest Research in AI and Health | 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. Related Content: AI and Health—The Year in Review | — | ||||||
| 11/20/25 |  Designing AI for Uncertainty: A Conversation With Eric Horvitz | 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. Related Content: AI—Days of Future Past | — | ||||||
| 11/6/25 |  AI for Drug Discovery | 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. Related Content: AI in the Lab—Will It Really Change Drug Discovery? | — | ||||||
| 10/13/25 |  AI, Health, and Health Care | Derek Angus, MD, MPH, joins JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, to discuss a special communication from JAMA Summit: Artificial Intelligence. Related Content: What the Experts Think About Where AI Is Headed AI, Health, and Health Care Today and Tomorrow | — | ||||||
| 10/9/25 |  AI, Health Care, and What to Expect in 2026 | 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. Related Content: What Will Next Year Bring for AI in Health? Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks Evaluating a Large Language Model in Translating Patient Instructions to Spanish Using a Standardized Framework Public Perception of Physicians Who Use Artificial Intelligence Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock Artificial Intelligence Across the JAMA Network Early Warning Scores With and Without Artificial Intelligence Artificial Intelligence and Radiologist Burnout Complete AI-Enabled Echocardiography Interpretation With Multitask Deep Learning How AI Could Reshape Health Care—Rise in Direct-to-Consumer Models Artificial Intelligence–Enabled Wearable Devices and Nocturnal Scratching in Mild Atopic Dermatitis | — | ||||||
| 9/18/25 |  Maintaining Safety and Trust When Patients Engage Google: A Conversation With Dr Michael Howell | 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. Related Content: "15% of Searches Have Never Been Typed Before" Three Epochs of Artificial Intelligence in Health Care | — | ||||||
| 9/5/25 |  AI in Women's Health | 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? Related Content: The Promise and Challenge of AI for Women's Health | — | ||||||
| 8/21/25 |  Navigating Transparency and Trust With AI in Health Care | 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. Related Content: Ethical Obligations to Inform Patients About Use of AI Tools AI Disclosure and Patient Consent in Health Care | — | ||||||
| 8/7/25 |  Changing Opinions About AI in Health Care | 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. Related Content: Changing Opinions About AI in Health Care | — | ||||||
| 8/5/25 |  From the JAMA Network: Socially Assistive Robots, Part 2 | 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. Related Content: Social Robots That Help Support People's Health Are Getting a Boost From AI Socially Assistive Robots | — | ||||||
| 7/24/25 |  Can AI Improve Cost-Effectiveness of 3D Total-Body Photography? | 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. Related Content: Cost-Effectiveness Analysis of 3D Total-Body Photography for People at High Risk of Melanoma Can AI Improve the Cost-Effectiveness of 3D Total-Body Photography? | — | ||||||
| 7/10/25 |  Checking in Between Checkups: An AI App to Track Asthma Symptoms | 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. Related Content: Between-Visit Asthma Symptom Monitoring With a Scalable Digital Intervention Discussing Digital Interventions in Asthma Symptom Monitoring | — | ||||||
| 6/26/25 |  Harnessing AI and Genomics in Clinical Trial Enrollment | 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. Related Content: Clinical Trial Notifications Triggered by Artificial Intelligence–Detected Cancer Progression Considerations in Translating AI to Improve Care How AI Could Increase Clinical Trial Enrollment in Adults With Cancer | — | ||||||
| 6/13/25 |  AI-Based Analysis for Parkinsonism | 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. Related Content: A Large Proportion of Parkinson Disease Diagnoses Are Wrong—Here's How AI Could Help Automated Imaging Differentiation for Parkinsonism | — | ||||||
| 5/29/25 |  Should Employers Offer Digital Mental Health Programs to Support Workforce Well-Being? | 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. Related Content: Employer-Sponsored Digital Health Platforms for Mental Wellness—A Good Investment Return on Investment of Enhanced Behavioral Health Services Return on Investment in Digital Mental Health Solutions | — | ||||||
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Chart Positions
5 placements across 5 markets.
Chart Positions
5 placements across 5 markets.