JAMA+ AI Conversations

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 What They Learned Early Warning Scores With and Without Artificial Intelligence

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 Influence on Diagnostic Reasoning

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

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 Estimate Gestational Age From Blind Ultrasound Sweeps

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 Language Translation

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 and Biomedicine

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

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

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

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 Care—Here's What They Learned Hello, World—Introducing JAMA+ AI