Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

Americans are increasingly turning to artificial intelligence tools like ChatGPT for something deeply personal: their health. They are asking about symptoms, medications, mental health struggles and ...

Re: “New Medicare program using AI leaves WA patients in pain” (March 18, Business): Medicare is a mutual benefit program — I’ve paid into it my whole working life and depend on it in retirement. It’s ...

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. Emergency rooms are overflowing. Clinicians are burning out. Patients ...

John Wilkerson is a Washington correspondent for STAT who writes about the politics of health care. He is also the author of the twice-weekly D.C. Diagnosis newsletter. WASHINGTON — Democrats are ...

The goal should be purposeful integration: using records to improve context for education, navigation, and appropriate escalation—without presenting the tool as a substitute for professional judgment.

You may not have heard of TriZetto, but you could nonetheless be one of the more than 3.4 million people whose sensitive health information has been leaked in a massive data breach. The healthcare IT ...

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

To develop and internally validate a machine learning (ML) model that identifies older outpatients with MCI using routine electronic health record (EHR) data. We conducted a retrospective ...

Abstract: The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost ...