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Large language models (LLMs) can store and recall vast quantities of medical information, but their ability to process this information in rational ways remains variable. A new study led by investigators from Mass General Brigham […]

A new study from NYU Tandon, NYU Langone Health, and the NYU Stern School of Business offers one of the first data-driven looks at how generative AI might help health care providers manage their message […]

When someone opens the door and enters a hospital room, wearing a stethoscope is a telltale sign that they’re a clinician. This medical device has been around for more than 200 years and remains a […]

A landmark international study led by the University of Zurich has shown that artificial intelligence can assess patient risk for the most common type of heart attack more accurately than existing methods. This could enable […]

Using medical data from sick patients while they’re still at home, traveling in an ambulance and receiving care in the emergency room, researchers at Northeastern have used artificial intelligence to build a tool that predicts […]

A new clinical trial co-led by researchers at FutureNeuro and RCSI University of Medicine and Health Sciences is investigating how advanced brain monitoring could improve the diagnosis and management of epilepsy.This post was originally published […]

A new perspective article jointly published in the Journal of Dental Research and JADA Foundational Science highlights the transformative potential of generative artificial intelligence (AI) in dental, oral, and craniofacial research while cautioning against its […]

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is under scrutiny, for instance, its […]

A mobile app can improve the symptoms of one of the commonest mental health problems in students—even with limited engagement, according to University of Manchester researchers.This post was originally published on this site

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly—especially for patients with rare diseases […]