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JAMA Medical News

Author: JAMA Network

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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.
182 Episodes
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AI can understand brain signals linked to the sensory and motor processes involved in speech. In this Q&A, Edward Chang, MD, the chair and professor of neurosurgery at UCSF joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI has the potential to facilitate communication and how close AI development is to being able to translate human emotion. Related Content: Digital Avatars and Personalized Voices—How AI Is Helping to Restore Speech to Patients
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
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
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
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
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
After a Decade, Goodbye to the Pooled Cohort Equations? Experts Tackle Racial Bias in Clinical Algorithms; How COVID-19 Might Be Tied to Other Respiratory Disease Outbreaks Related Content: What to Know About PREVENT, the AHA’s New Cardiovascular Disease Risk Calculator Citing Harms, Momentum Grows to Remove Race From Clinical Algorithms From “Immunity Debt” to “Immunity Theft”—How COVID-19 Might Be Tied to Recent Respiratory Disease Surges
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
Amid the surging buzz around artificial intelligence (AI), can we trust the Al hype, and more importantly, are we ready for its implications? In this Q&A, Arvind Narayanan, PhD, a professor of computer science at Princeton, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the exploration of Al's fairness, transparency, and accountability. Related Content: How to Navigate the Pitfalls of AI Hype in Health Care
The Next Generation of COVID-19 Vaccines May Be Inhaled; Does Paxlovid Prevent Long COVID? Apply to the Morris Fishbein Fellowship in Medical Editing. Related Content: Up the Nose and Down the Windpipe May Be the Path to New and Improved COVID-19 Vaccines Studies Investigate Whether Antivirals Like Paxlovid May Prevent Long COVID The Morris Fishbein Fellowship in Medical Editing
Artificial intelligence holds the promise of revolutionizing disease diagnosis and prediction, but it also presents a pivotal challenge: ensuring equity. In this Q&A, Alondra Nelson, PhD, the Harold F. Linder Professor at the Institute for Advanced Study, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss the equitable regulation of AI to benefit all populations. Related Content: How Do Policymakers Regulate AI and Accommodate Innovation in Research and Medicine?
In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews John Ayers, PhD, MA, vice chief of innovation in the Division of Infectious Diseases & Global Public Health, deputy director of informatics in the Altman Clinical and Translational Research Institute, and affiliate scientist in the Qualcomm Institute, all at UC San Diego, to discuss how genAI programs like ChatGPT can increase communication pathways and improve patient outcomes. Related Content: How AI Assistants Could Help Answer Patients’ Messages—and Potentially Improve Their Outcomes
Why Physicians Don’t Deprescribe Medicines; What to Know About Wegovy’s Rare but Serious Adverse Effects; What to Know About Zepbound, the Newest Antiobesity Drug Related Content: As Semaglutide’s Popularity Soars, Rare but Serious Adverse Effects Are Emerging FDA Green-Lights Tirzepatide, Marketed as Zepbound, for Chronic Weight Management Deciding When It’s Better to Deprescribe Medicines Than to Continue Them
JAMA Associate Editor Gregory Marcus, MD, a cardiologist and professor of medicine at the University of California San Francisco, speaks with American Heart Association Scientific Sessions 2023 conference chair Amit Khera, MD, MSc, a professor in the department of internal medicine at UT Southwestern Medical Center and the director of preventive cardiology. Related Content: Highlights From AHA 2023—New Risk Calculator, Semaglutide and CVD, and More
In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Nigam Shah, MBBS, PhD, professor of medicine at Stanford University and chief data scientist at Stanford Health Care, to discuss how large language models are reshaping medicine and the potential pitfalls of automation. Related Content: Clinical AI Tools Must Be Fed the Right Data, Stanford Health Care's Chief Data Scientist Says Creation and Adoption of Large Language Models in Medicine
New vaccines, artificial intelligence, antimicrobial resistance, and more—JAMA Deputy Editor Preeti Malani, MD, MSJ, speaks with IDWeek 2023 cochair Col Heather Yun, USAF, MC. The infectious disease physicians discuss clinical highlights from the conference. Related Content: Highlights From IDWeek 2023—New Vaccines, Artificial Intelligence, and Antimicrobial Resistance
JAMA Associate Editor John M. Inadomi, MD, discusses clinical highlights from United European Gastroenterology (UEG) Week with UEG president Helena Cortez-Pinto, MD, PhD. Related Content: Highlights From Gastroenterology Week: New Crohn Disease Drug, Redefining Liver Disease, and More
AI has potential to meaningfully improve patient care. How will AI advances help clinicians focus on the best use of their time and talents? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Suchi Saria, PhD, MSc, an associate professor in computer science at Johns Hopkins, to discuss how AI could streamline care. Related Content: Can Predictive AI Improve Early Detection of Sepsis and Other Conditions?
Who Should Get the New Alzheimer Disease Drug? Could Universal Donor Blood Be Made in the Lab? More Than 1 in 4 Nurses Say They Plan to Leave Health Care Related Content: Who Should—and Can—Get Lecanemab, the New Alzheimer Disease Drug? Could Universal Donor Blood Be Made in the Laboratory? Overworked and Understaffed, More Than 1 in 4 US Nurses Say They Plan to Leave the Profession
In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Bernard S. Chang, MD, MMSc, a neurologist and dean for medical education at Harvard Medical School, discuss how AI will change medical education, admissions, and teaching the future generation of physicians and clinicians. Related Content: AI Will—and Should—Change Medical School, Says Harvard’s Dean for Medical Education Transformation of Undergraduate Medical Education in 2023
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