Miscarriage early in pregnancy is very common—roughly one-fifth of detected pregnancies are thought to end in miscarriage, mostly in the first trimester. After a single miscarriage, patients are ...

Researchers at the National Institutes of Health (NIH) have found that an artificial intelligence (AI) model solved medical quiz questions—designed to test health professionals' ability to diagnose ...

The procurement of medical equipment is a critical concern for healthcare organizations striving to deliver comprehensive patient care. Thus, the procurement process, including performance evaluation ...

There is tremendous interest in applying machine learning (ML) to the many unsolved problems in healthcare. Published models can augment clinician awareness, perform diagnostic tasks, forecast ...

While large language models ace medical exams, their inability to recognize uncertainty highlights a critical flaw that could impact patient safety. Research: Large Language Models lack essential ...

The recent overhaul of the U.S. pediatric vaccine schedule under Health and Human Services Secretary Robert F. Kennedy Jr. touched off a firestorm of criticism — most of it for demoting six vaccines ...

Shared decision making (SDM) is a method of care that is suitable for the care of patients with cancer. It involves a collaborative conversation seeking to respond sensibly to the problematic ...

JMIR Publications released two feature stories in its News and Perspectives section. Shalini Kathuria Narang's "Can Humanlike ...

A multidisciplinary group at ECU Health Medical Center in Greenville, North Carolina, developed a decision guide to provide health care teams with specific guidelines for swallowing care after ...

Eric Boodman focuses on narrative features, exploring the startling ways that science and medicine affect people’s lives. You can reach Eric on Signal at eboodman.88. But to researchers who’ve spent ...

Researchers found that an artificial intelligence (AI) model solved medical quiz questions -- designed to test health professionals' ability to diagnose patients based on clinical images and a brief ...