JAMA Medical News JAMA Network
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- Health & Fitness
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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.
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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.
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How Machine Learning Might Help Improve Cardiac Imaging -
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
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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 -
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.
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Blind Spots, Shortcuts, and Automation Bias—Researchers Are Aiming to Improve AI Clinical 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.
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AI Developers Should Understand the Risks of Deploying Their Clinical Tools, MIT Expert Says -
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
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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 -
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