Episodios
-
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.
Study Finds People Prefer AI Over Clinician Responses to Questions in the Electronic Medical Record Perspectives on Artificial Intelligence–Generated Responses to Patient Messages
Related Content: -
Weight-Loss Drugs Are Reshaping the Future of Bariatric Surgery; Are Compounded GLP-1 Drugs Safe? Will Renaming Some Cancers as Noncancers Hurt or Help?
What Does the Rise of GLP-1 Drugs Mean for Bariatric Surgery? Patients Are Flocking to Compounded Weight-Loss Drugs, but Are They Safe? Experts Are Debating Whether Some Cancers Shouldn’t Be Called That
Related Content: -
¿Faltan episodios?
-
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.
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 Are Artificial Intelligence–Generated Replies the Answer to the Electronic Health Record Inbox Problem?
Related Content: -
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.
Study Finds Limited Evidence to Support More Than 40 Predictive Machine Learning Algorithms Used in Primary Care Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care The Need for Continuous Evaluation of Artificial Intelligence Prediction Algorithms
Related Content: -
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.
How AI Could Help Clinicians Identify American Indian Patients at Risk for Suicide Performance of Machine Learning Suicide Risk Models in an American Indian Population
Related Content: -
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.
Researchers Compared Hospital Early Warning Scores for Clinical Deterioration—Here’s What They Learned Early Warning Scores With and Without Artificial Intelligence
Related Content: -
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.
An AI Chatbot Outperformed Physicians and Physicians Plus AI in a Trial—What Does That Mean? Large Language Model Influence on Diagnostic Reasoning
Related Content: -
Why COVID-19 Vaccines Don’t Stop Transmission; Hospital-at-Home—But Make It Virtual
In Search of COVID-19 Vaccines That Elicit Mucosal Immunity and Stop Transmission The Next Step in Hospital-at-Home Care Could Be Virtual
Related Content: -
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.
Health Systems Are Struggling to Keep Up With AI—A National Registration System Could Help A Federated Registration System for Artificial Intelligence in Health
Related Content: -
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."
The Low-Cost, Battery-Powered AI-Enabled Ultrasound Device That Could Improve Global Obstetric Care Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps
Related Content: -
Cardiologist Amit Khera, MD, chair of the American Heart Association’s recent flagship meeting, discusses some of the most important clinical studies presented at the conference with JAMA Medical News Director Jennifer Abbasi. They touch on antiobesity drugs, new compounds to reduce lipoprotein(a), AI tools, and more.
Lp(a) Reduction, GLP-1s for Heart Failure, and More—Highlights From the AHA Scientific Sessions
Related Content: -
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.
Researcher Explores Using AI to Overcome Language Barriers With Patients Artificial Intelligence for Language Translation
Related Content: -
How Antibiotic Underuse Is Driving Antimicrobial Resistance; What to Know About the XEC SARS-CoV-2 Variant
UN Meeting Highlights Antimicrobial Resistance “Epiphany”—Lack of Antibiotic Access Is a Key Driver What to Know About XEC, the New SARS-CoV-2 Variant Expected to Dominate Winter’s COVID-19 Wave
Related Content: -
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.
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 and Biomedicine
Related Content: -
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.
AI Can’t Worry About Patients, and a Clinical Ethicist Says That Matters Echoes of Concern—AI and Moral Agency in Medicine
Related Content: -
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.
National Academies President on How to Use Generative AI Responsibly in Scientific Research
Related Content: -
Researchers Are Exploring the Role of Shingles—and a Protective Role of Shingles Vaccine—in Dementia; Could the Body Roundness Index One Day Replace BMI?
Researchers Are Exploring the Role of Shingles—and a Protective Role of Shingles Vaccine—in Dementia Could the Body Roundness Index One Day Replace the BMI?
Related Content: -
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.
How Health and Technology Sectors Can Collaborate on Better AI-Assisted Wearables
Related Content: -
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.
The VA Was an Early Adopter of Artificial Intelligence to Improve Care—Here’s What They Learned Hello, World—Introducing JAMA+ AI
Related Content: -
European Society of Cardiology Vice President Carlos Aguiar, MD, discusses clinical research highlights from the largest scientific meeting in cardiovascular medicine, held recently in London. Updates include semaglutide findings, hypertension triple pills, and more.
Semaglutide Updates, Hypertension Triple Pills, and More—Heart Health Highlights From ESC Congress
Related Content: - Mostrar más