181 episodes

Discussions of timely topics in clinical medicine, biomedical research, public health, health policy, and more, featured in the Medical News section of JAMA, the Journal of the American Medical Association.

JAMA Medical News JAMA Network

    • Health & Fitness
    • 4.4 • 71 Ratings

Discussions of timely topics in clinical medicine, biomedical research, public health, health policy, and more, featured in the Medical News section of JAMA, the Journal of the American Medical Association.

    AI and Clinical Practice—How AI Could Advance Human Heart Discoveries and Improve Care

    AI and Clinical Practice—How AI Could Advance Human Heart Discoveries and Improve Care

    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

    • 17 min
    February 2024 Medical News Summary

    February 2024 Medical News Summary

    Rural Maternity Care Is in Crisis—Here’s What Could Help; Type and Severity of Immunodeficiency Affect Speed of SARS-CoV-2 Clearance, Study Finds

    Related Content:
    More Than Half of US Rural Hospitals No Longer Offer Birthing Services—Here’s Why When It Comes to SARS-CoV-2 Clearance, People Who Are Immunocompromised Are Not All Alike

    • 13 min
    AI and Clinical Practice: Automation Bias and Short Cuts in Clinical AI Models

    AI and Clinical Practice: Automation Bias and Short Cuts in Clinical AI Models

    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 Clinical Models

    • 28 min
    AI and Clinical Practice—AI and the Ethics of Developing and Deploying Clinical AI Models

    AI and Clinical Practice—AI and the Ethics of Developing and Deploying Clinical AI Models

    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

    • 24 min
    January 31, 2024, Medical News Summary

    January 31, 2024, Medical News Summary

    What the Latest Research Says About Paxlovid; People Are Using Potentially Dangerous “Trip-Killers” to Counter Psychedelics; Social Media Affects Youth Mental Health—Here’s What Could Help

    Related Content:
    Paxlovid Is Effective but Underused—Here’s What the Latest Research Says About Rebound and More Study Finds Hundreds of Reddit Posts on “Trip-Killers” for Psychedelic Drugs Social Media Industry Standards Needed to Protect Adolescent Mental Health, Says National Academies

    • 15 min
    AI and Clinical Practice—Discovery and Scaling Findings From Large, Multicenter Health Care Datasets

    AI and Clinical Practice—Discovery and Scaling Findings From Large, Multicenter Health Care Datasets

    How can we leverage AI to transform health care into a more efficient model for delivering care? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Atul Butte, MD, PhD, the director of the Bakar Computational Health Sciences Institute at UCSF, to discuss scalable privilege and the need for the broad distribution of AI-driven expertise.

    Related Content:
    “Scalable Privilege”—How AI Could Turn Data From the Best Medical Systems Into Better Care for All

    • 21 min

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4.4 out of 5
71 Ratings

71 Ratings

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