JAMA Medical News

An Explosion of Food Is Medicine Research Could Change Health Care; Blockbuster Obesity Drugs Have Potential New Uses Related Content: Could GLP-1 Receptor Agonists Like Semaglutide Treat Addiction, Alzheimer Disease, and Other Conditions? Produce Prescriptions Sound Good, but Data to Support Them Are Lacking—That Could Soon Change

Douglas Drachman, MD, shares late-breaking research from the annual conference of the American College of Cardiology and World Congress of Cardiology in an interview with JAMA Medical News Director Jennifer Abbasi. Dr Drachman—who chaired this year's conference—is an interventional cardiologist at Massachusetts General Hospital, where he is also director of education in the cardiology division. Related Content: Clinical Highlights From the American College of Cardiology's 2024 Scientific Session

Momentum Grows for Disaggregated Asian American Health Data; What Clinicians Need to Know About TikTok Related Content: Researchers Are Working to Disaggregate Asian American Health Data—Here's Why It's Long Overdue Patients Are Turning to TikTok for Health Information—Here's What Clinicians Need to Know

In a conversation with JAMA's Editor in Chief, Davey Smith discusses the potential of generative AI in healthcare to improve patient outcomes. They explore the use of AI and cell phone technology to bridge healthcare disparities and highlight the accuracy and empathy of AI in providing health information. The podcast also delves into AI integration in healthcare communication, emphasizing the importance of patient outcome trials to evaluate the impact of AI tools on well-being.

Measles Is Spreading Again in the US; Questions Surround Blood Tests That Claim to Screen for Multiple Cancers; Study Provides Insight Into Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Related Content: Measles Cases Are Spreading in the US—Here's What to Know Questions Swirl Around Screening for Multiple Cancers With a Single Blood Test NIH Study Provides Long-Awaited Insight Into Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

AI has potential to decode brain signals for speech, enable communication for non-verbal individuals, and translate human emotion. AI tools are being developed to restore speech and motor functions, revolutionizing speech through brain signals. Ethical considerations of AI decoding speech intentions are explored, as AI enables full expression for individuals with brain injuries.

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

Exploring the crisis of rural maternity care closures in the US, the challenges faced by rural patients, and the need for a new payment model. Discussing workforce strategies to address healthcare accessibility gaps, focusing on initiatives like the Rural Maternity and Obstetrics Management Strategies Program. Delving into the impact of labor and delivery department closures on prenatal care access, challenges faced by rural individuals in traveling for appointments, and a study on SARS-CoV-2 clearance rates in immunocompromised individuals.

The podcast discusses automation bias and shortcuts in clinical AI models, emphasizing the need for human collaboration to improve healthcare. Topics include accuracy of AI in diagnosing conditions using chest x-rays, addressing biases in AI models, exploring human-AI collaboration, and integrating AI tools in clinical practice.

Marzyeh Ghassemi, MIT professor, discusses ethical AI in clinical practice. Topics include biases in AI, disparities in model performance, data quality issues, labeling data correctly, ethical responsibilities of developers, and the dangers of automation bias in healthcare technology.