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

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

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—Radiology’s AI Adoption Dilemma

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