Getting genuinely useful new technologies, from wearables to clinical decision support, into the clinic has proven to be surprisingly challenging. Tanzeem K. Choudhury, PhD, of Cornell Tech joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss how to take research into the real world in a way that is scalable and affordable.

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What hard lessons did the US Department of Veterans Affairs (VA) learn in 3 decades of EHR development, and what can it teach us about building better AI in medicine? Stephen Fihn, MD, MPH, of the University of Washington, and formerly a leader in the VA's EHR efforts, joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss his experience at the VA building decision support tools and other technology.

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How can we leverage AI to transform health care into a more efficient model for delivering care? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Atul Butte, MD, PhD, the director of the Bakar Computational Health Sciences Institute at UCSF, to discuss scalable privilege and the need for the broad distribution of AI-driven expertise.

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Amid the surging buzz around artificial intelligence (AI), can we trust the Al hype, and more importantly, are we ready for its implications? In this Q&A, Arvind Narayanan, PhD, a professor of computer science at Princeton, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the exploration of Al's fairness, transparency, and accountability.

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Artificial intelligence holds the promise of revolutionizing disease diagnosis and prediction, but it also presents a pivotal challenge: ensuring equity. In this Q&A, Alondra Nelson, PhD, the Harold F. Linder Professor at the Institute for Advanced Study, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the equitable regulation of AI to benefit all populations.

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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews John Ayers, PhD, MA, vice chief of innovation in the Division of Infectious Diseases & Global Public Health, deputy director of informatics in the Altman Clinical and Translational Research Institute, and affiliate scientist in the Qualcomm Institute, all at UC San Diego, to discuss how genAI programs like ChatGPT can increase communication pathways and improve patient outcomes.

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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Nigam Shah, MBBS, PhD, professor of medicine at Stanford University and chief data scientist at Stanford Health Care, to discuss how large language models are reshaping medicine and the potential pitfalls of automation.

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AI has potential to meaningfully improve patient care. How will AI advances help clinicians focus on the best use of their time and talents? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Suchi Saria, PhD, MSc, an associate professor in computer science at Johns Hopkins, to discuss how AI could streamline care.

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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Bernard S. Chang, MD, MMSc, a neurologist and dean for medical education at Harvard Medical School, discuss how AI will change medical education, admissions, and teaching the future generation of physicians and clinicians.

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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, talks with Andrew Bindman, MD, an internist and the executive vice president and chief medical officer for Kaiser Permanente, about AI implementation and the importance of building trust in a health care system.

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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Kedar S. Mate, MD, an internal medicine physician, President and Chief Executive Officer at the Institute for Healthcare Improvement, and faculty at Weill Cornell Medical College, to discuss AI's role in health care quality and approaches to improving health equity.

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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Kevin B. Johnson, MD, MS, the David L. Cohen and Penn Integrates Knowledge University Professor of Pediatrics, Informatics, Engineering, and Communication at the University of Pennsylvania, discuss how AI can reduce clinician burden and streamline health system functions.

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Can data from wearable devices and electronic health records enhance quality improvement in health care? In this Q&A, Sachin Kheterpal, MD, MBA, the University of Michigan Medical School Associate Dean for Research Information Technology, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the potential of data from mobile devices to revolutionize patient care.

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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Ida Sim, MD, PhD, a primary care physician and UCSF's Chief Research Informatics Officer, discuss generative AI, large language models, and the ways in which AI could affect humanity in medicine.

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In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Michael Howell, MD, MPH, a pulmonologist and chief clinical officer at Google, to discuss the evolution of AI and what we should expect next for AI and health care.

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Can AI augment radiological processes, imaging analysis, and diagnosis? In this Q&A, Saurabh Jha, MBBS, MRCS, MS, an associate professor of radiology at the University of Pennsylvania, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI could play a crucial role in improving access to medical imaging in remote, high-altitude, and low-income areas.

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Can AI/machine learning-driven digital phenotyping facilitate global personalized medicine? In this Q&A, Vikram Patel, MBBS, PhD, the Paul Farmer Professor and chair of the Department of Global Health and Social Medicine at Harvard Medical School, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI can enhance assessment and treatment solutions across lower-income nations.

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Could generative AI assist in extending access to vulnerable populations and begin to bridge the gap in disparities? In this Q&A, Davey Smith, MD, MAS, an infectious disease specialist and virologist at the University of California, San Diego, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to explore the implications of large language models for improving patient outcomes.

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AI can understand brain signals linked to the sensory and motor processes involved in speech. In this Q&A, Edward Chang, MD, the chair and professor of neurosurgery at UCSF joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI has the potential to facilitate communication and how close AI development is to being able to translate human emotion.

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Can AI enhance the speed and efficiency of interpreting ultrasounds and echocardiograms, thereby minimizing diagnostic errors? In this Q&A, Rima Arnaout, MD, a cardiologist and associate professor of medicine at the University of California-San Francisco, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the transformative impact of AI on cardiac imaging.

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Automation bias and shortcuts in clinical AI models have posed significant challenges. In this Q&A, Jenna Wiens, PhD, an associate professor of Computer Science and Engineering at the University of Michigan in Ann Arbor, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how we can start leveraging human collaboration with AI to provide more effective health care.

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AI in clinical practice needs ethical frameworks to avert future biases. In this Q&A, Marzyeh Ghassemi, PhD, the Herman L. F. von Helmholtz Career Development Professor at MIT in Electrical Engineering and Computer Science (EECS), joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss ethical machine learning and responsible clinical implementation.

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In a recent Viewpoint published in JAMA, Michael Pencina, PhD, of Duke University, argued for a federated registration system for AI tools deployed in health systems. He joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss his article, the Coalition for Health AI (CHAI), and more.

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In resource-limited settings, an integrated AI tool allows novice users to improve gestational age estimates. Jeffrey Stringer, MD, University of North Carolina, joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss "Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps."

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Effective communication is essential in medicine, yet language barriers can result in suboptimal care. AI holds promise for bridging these gaps, enhancing outcomes, and reducing disparities. Casey Lion, MD, MPH, from the University of Washington School of Medicine, joins JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, to discuss AI as an interpreter in the clinic.

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A recent Special Communication published in JAMA points out that the FDA has already approved nearly 1000 devices using AI. Author Robert M. Califf, MD, commissioner of the US Food and Drug Administration, joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss AI regulation.

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A recent JAMA Cardiology essay argues that medicine is not just a technical endeavor, it's also a moral endeavor, and a robot does not have moral agency. Coauthor Sarah C. Hull, MD, MBE, of Yale School of Medicine, joins JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, to discuss the use of AI in managing decision-making in cardiac care.

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Widespread adoption of AI raises questions about accountability, transparency, and reproducibility. Marcia McNutt, PhD, president of the National Academy of Sciences, joins JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss advancing scientific knowledge in the age of AI.

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How can hospitals use early warning score tools to risk stratify patients without adding to alarm fatigue? Dana Edelson, MD, MS, of the University of Chicago joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss a recent study published in JAMA Network Open that she coauthored, comparing 6 early warning scores designed to recognize clinical deterioration in hospitalized patients.

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Chatbots may have a role in enhancing clinical care, but the best way to apply them remains a work in progress. Jonathen Chen, MD, PhD, and Ethan Goh, MD, MS, of Stanford, join JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, to discuss their randomized clinical trial published in JAMA Network Open investigating the use of chatbots in clinical practice.

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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.

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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.

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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.

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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.

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American Indian and Alaska Native communities have higher rates of suicide than any other racial or ethnic group in the US. A recent study published in JAMA Network Open describes an AI-based suicide screening tool investigated in an American Indian community. Author Emily Haroz, PhD, of Johns Hopkins Bloomberg School of Public Health, joins JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH.

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Correction: This podcast has been updated to add additional context on the frequency of false positives.

Open neural tube defects affect approximately 1 in 1400 births. Daniel Herman, MD, PhD, of the University of Pennsylvania Perelman School of Medicine joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss a quality improvement study examining the need to continue to incorporate race in tests that screen for these defects.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Derek Angus, MD, MPH, joins JAMA+ AI Editor in Chief Roy Perlis, MD, MSc, to discuss a special communication from JAMA Summit: Artificial Intelligence.

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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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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.

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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.

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