Avsnitt
-
In a recent study published in JAMA Psychiatry, researchers reported that a machine learning model was able to stratify risk for subsequent diagnosis of schizophrenia or bipolar disorder among individuals already receiving psychiatric treatment. Coauthor Søren Dinesen Østergaard, PhD, of Aarhus University in Denmark joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss.
Machine Learning Model Shows Promise in Early Detection of Serious Mental Illness Predicting Diagnostic Progression to Schizophrenia or Bipolar Disorder via Machine Learning
Related Content: -
AI can play a role in addressing language barriers in health care. In a recent Editorial in JAMA Network Open, Pilar Ortega, MD, MGM, of the University of Illinois College of Medicine, and coauthors emphasized the urgent need for integrating language equity into digital health solutions. Dr Ortega joins JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, to discuss.
Researcher Proposes New Framework for Language Equity in Health Technology Language Equity in Health Technology for Patients With Non–English Language Preference Challenges to Video Visits for Patients With Non–English Language Preference
Related Content: -
Saknas det avsnitt?
-
A recent report from the Engineering Research Visioning Alliance emphasizes the urgent need for engineering-directed research to mitigate the growing threat of antimicrobial resistance. Anita Shukla, PhD, a professor of engineering at Brown University, discusses its findings with JAMA Medical News Associate Managing Editor Kate Schweitzer and presents several key opportunities.
Five Engineering Advancements That May Help Solve the Growing Threat of Antimicrobial Resistance
Related Content: -
Changes to CDC’s Website Threaten Patients, Public Health; Landmark Study of Black Women and Cancer Launches
As Missing and Altered CDC Webpages Threaten Patient Care, Efforts Grow to Fill Information Gaps Landmark Study Aims to Enroll 100 000 Black Women to Investigate Their Cancer Risks and Outcomes
Related Content: -
Lung ultrasound aids in the diagnosis of patients with dyspnea but requires technical proficiency for image acquisition. Cristiana Baloescu, MD, MPH, of Yale School of Medicine, joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss a new study published in JAMA Cardiology evaluating the ability of AI to guide acquisition of diagnostic-quality lung ultrasound images by trained health care professionals.
AI-Guided Lung Ultrasounds Could Help Nonexpert Clinicians Acquire “Expert-Level” Images Artificial Intelligence–Guided Lung Ultrasound by Nonexperts
Related Content: -
A recent study in JAMA Network Open evaluates the use of machine learning algorithms to assess the management of urinary tract infection (UTI). Author Sanjat Kanjilal, MD, MPH, professor in the Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Healthcare Institute, joins JAMA Associate Editor Yulin Hswen, ScD, MPH, to discuss this topic and more.
Researchers Use Machine Learning to Put Older Clinical Guidelines to the Test Use of Machine Learning to Assess the Management of Uncomplicated Urinary Tract Infection
Related Content: -
Digital health technologies, including patient portals, are widely used by older adults, as described in a recent study published in JAMA Network Open. Author Cornelius James, MD, of the University of Michigan joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss the study and how it fits with his own experience in the clinic.
Study Finds Most Older Adults Use Digital Health Technologies, Plus Some Surprises Use of Digital Health Technologies by Older US Adults
Related Content: -
How do patients feel about the quality of AI-generated responses to their messages to clinicians? Author Eleni Linos, MD, DrPH, of Stanford joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss her recent study in JAMA Network Open that characterized satisfaction with these messages.
Study Finds People Prefer AI Over Clinician Responses to Questions in the Electronic Medical Record Perspectives on Artificial Intelligence–Generated Responses to Patient Messages
Related Content: -
Weight-Loss Drugs Are Reshaping the Future of Bariatric Surgery; Are Compounded GLP-1 Drugs Safe? Will Renaming Some Cancers as Noncancers Hurt or Help?
What Does the Rise of GLP-1 Drugs Mean for Bariatric Surgery? Patients Are Flocking to Compounded Weight-Loss Drugs, but Are They Safe? Experts Are Debating Whether Some Cancers Shouldn’t Be Called That
Related Content: -
The burden of responding to clinician inbox messages may be a contributor to burnout. Eden English, MD, of UCHealth joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss her recent study published in JAMA Network Open, which examined the use of large language models to reply to patient messages.
Researchers Tested an AI Tool That Drafts Responses to Patient Messages—Here’s What They Found Utility of Artificial Intelligence–Generative Draft Replies to Patient Messages Are Artificial Intelligence–Generated Replies the Answer to the Electronic Health Record Inbox Problem?
Related Content: -
With accelerating global adoption of AI, countries are developing ethical AI frameworks to prevent harm to the most vulnerable populations. Maria Villalobos-Quesada, PhD, from the National eHealth Living Lab (NeLL) in the Netherlands and the Observatory of Bioethics and Law of the University of Barcelona, discusses this and more with JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH.
*Author image and affiliations updated February 4, 2025.
Study Finds Limited Evidence to Support More Than 40 Predictive Machine Learning Algorithms Used in Primary Care Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care The Need for Continuous Evaluation of Artificial Intelligence Prediction Algorithms
Related Content: -
American Indian and Alaska Native communities have higher rates of suicide than any other racial or ethnic group in the US. A recent study published in JAMA Network Open describes an AI-based suicide screening tool investigated in an American Indian community. Author Emily Haroz, PhD, of Johns Hopkins Bloomberg School of Public Health, joins JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH.
How AI Could Help Clinicians Identify American Indian Patients at Risk for Suicide Performance of Machine Learning Suicide Risk Models in an American Indian Population
Related Content: -
How can hospitals use early warning score tools to risk stratify patients without adding to alarm fatigue? Dana Edelson, MD, MS, of the University of Chicago joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss a recent study published in JAMA Network Open that she coauthored, comparing 6 early warning scores designed to recognize clinical deterioration in hospitalized patients.
Researchers Compared Hospital Early Warning Scores for Clinical Deterioration—Here’s What They Learned Early Warning Scores With and Without Artificial Intelligence
Related Content: -
Chatbots may have a role in enhancing clinical care, but the best way to apply them remains a work in progress. Jonathen Chen, MD, PhD, and Ethan Goh, MD, MS, of Stanford, join JAMA and JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, to discuss their randomized clinical trial published in JAMA Network Open investigating the use of chatbots in clinical practice.
An AI Chatbot Outperformed Physicians and Physicians Plus AI in a Trial—What Does That Mean? Large Language Model Influence on Diagnostic Reasoning
Related Content: -
Why COVID-19 Vaccines Don’t Stop Transmission; Hospital-at-Home—But Make It Virtual
In Search of COVID-19 Vaccines That Elicit Mucosal Immunity and Stop Transmission The Next Step in Hospital-at-Home Care Could Be Virtual
Related Content: -
In a recent Viewpoint published in JAMA, Michael Pencina, PhD, of Duke University, argued for a federated registration system for AI tools deployed in health systems. He joins JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss his article, the Coalition for Health AI (CHAI), and more.
Health Systems Are Struggling to Keep Up With AI—A National Registration System Could Help A Federated Registration System for Artificial Intelligence in Health
Related Content: -
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."
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
Related Content: -
Cardiologist Amit Khera, MD, chair of the American Heart Association’s recent flagship meeting, discusses some of the most important clinical studies presented at the conference with JAMA Medical News Director Jennifer Abbasi. They touch on antiobesity drugs, new compounds to reduce lipoprotein(a), AI tools, and more.
Lp(a) Reduction, GLP-1s for Heart Failure, and More—Highlights From the AHA Scientific Sessions
Related Content: -
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.
Researcher Explores Using AI to Overcome Language Barriers With Patients Artificial Intelligence for Language Translation
Related Content: -
How Antibiotic Underuse Is Driving Antimicrobial Resistance; What to Know About the XEC SARS-CoV-2 Variant
UN Meeting Highlights Antimicrobial Resistance “Epiphany”—Lack of Antibiotic Access Is a Key Driver What to Know About XEC, the New SARS-CoV-2 Variant Expected to Dominate Winter’s COVID-19 Wave
Related Content: - Visa fler
