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. Related Content: Study Findings Question Value of Including ...
Mar 28, 2025•16 min
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. Related Content: How AI Could Improve Health Care for People With Intellectual and Developmental Disabilities How Artificial Int...
Mar 21, 2025•14 min
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. Related Content: Study Finds AI Can Quickly Prescreen Patients for Clini...
Mar 14, 2025•12 min
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. Related Content: Machine Learning Model Shows Promise in Early Detection of Serious Mental Illness Predicting Diagn...
Mar 07, 2025•17 min
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. Related Content: Researcher Proposes New Framework for Language Equity in Health Technology Language Equity in Health Technol...
Feb 28, 2025•20 min
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. Related Content: AI-Guided Lung Ultrasounds Could Help Nonexpert Clinicians Acquire "E...
Feb 21, 2025•11 min
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. Related Content: Researchers Use Machine Learning to Put Older Clinical Guidelines to the Test Use of Machine Learning to...
Feb 14, 2025•18 min
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. Related Content: Study Finds Most Older Adults Use Digital Health Technologies, Plus Some Surprises Use of Digital Health Technologies by Older US Adults...
Feb 07, 2025•17 min
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. Related Content: Study Finds People Prefer AI Over Clinician Responses to Questions in the Electronic Medical Record Perspectives on Artificial Intelligence–Generated Responses to Patient Messages...
Jan 31, 2025•19 min
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. Related Content: Researchers Tested an AI Tool That Drafts Responses to Patient Messages—Here's What They Found Utility of Artificial Intelligence–Generative Draft Replies to Patient Messages...
Jan 24, 2025•20 min
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. Related Content: Study Finds Limited Evidence to Support M...
Jan 17, 2025•15 min
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. Related Content: How AI Could Help Clinicians Identify American Indian Patients at Risk for Suicid...
Jan 10, 2025•19 min
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. Related Content: Researchers Compared Hospital Early Warning Scores for Clinical Deterioration—Here's Wha...
Jan 03, 2025•17 min
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. Related Content: An AI Chatbot Outperformed Physicians and Physicians Plus AI in a Trial—What Does That Mean? Large Language Model Infl...
Dec 27, 2024•25 min
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. Related Content: Health Systems Are Struggling to Keep Up With AI—A National Registration System Could Help A Federated Registration System for Artificial Intelligence in Health...
Dec 20, 2024•26 min
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." Related Content: The Low-Cost, Battery-Powered AI-Enabled Ultrasound Device That Could Improve Global Obstetric Care Diagnostic Accuracy of an Integrated AI Tool to Es...
Dec 13, 2024•19 min
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. Related Content: Researcher Explores Using AI to Overcome Language Barriers With Patients Artificial Intelligence for Langu...
Dec 06, 2024•19 min
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. Related Content: FDA Commissioner Robert Califf on Setting Guardrails for AI in Health Care JAMA AI Interview With Robert M. Califf, MD FDA Perspective on the Regulation of Artificial Intelligence in Health Care a...
Nov 22, 2024•23 min
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. Related Content: AI Can't Worry About Patients, and a Clinical Ethicist Says That Matters Echoes of Concern—AI and Moral Agency in Medicine...
Nov 15, 2024•24 min
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. Related Content: National Academies President on How to Use Generative AI Responsibly in Scientific Research...
Nov 08, 2024•24 min
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. Related Content: How Health and Technology Sectors Can Collaborate on Better AI-Assisted Wearables...
Oct 18, 2024•26 min
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. Related Content: The VA Was an Early Adopter of Artificial Intelligence to Improve Ca...
Oct 08, 2024•23 min
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. Related Content: Tapping AI's Strengths—From Operating Room Safety to Wearable Device Interpretation...
Jul 05, 2024•31 min
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. Related Content: How Artificial Intelligence Will Enhance Imaging Access and Analysis Algorithms at the Gate—Rad...
May 24, 2024•23 min
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. Related Content: One Day, AI Could Mean Better Mental Health for All...
May 03, 2024•36 min
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. Related Content: Will Generative AI Tools Improve Access to Reliable Health Information?...
Apr 05, 2024•18 min
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. Related Content: Digital Avatars and Personalized Voices—How AI Is Helping to Restore Speech to Patients...
Mar 22, 2024•21 min
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. Related Content: How Machine Learning Might Help Improve Cardiac Imaging...
Mar 06, 2024•17 min
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. Related Content: Blind Spots, Shortcuts, and Automation Bias—Researchers Are Aiming to Improve AI Clini...
Feb 28, 2024•28 min
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. Related Content: AI Developers Should Understand the Risks of Deploying Their Clinical Tools, MIT Expert Says...
Feb 07, 2024•24 min
