Research into the design and development of AI models for rural healthcare isn’t hard to come by. However, that’s about as far as most of the investigations go. 

Confidence in public health entities is spiraling downward in the U.S., and once-revered Washington institutions like the CDC and NIH are among the casualties in serious condition. How to break the negative momentum?

5 high-profile physician leaders: ‘Misinformation, politicization of commonsense public health efforts and sudden changes to federal vaccine guidance are creating mass confusion and diminishing trust in public health.’

The U.S. is one of 23 countries that consider workforce AI training and education only a medium priority. Indeed, our homeland has a less detailed plan than 13 other nations.

A primary aim of medical humanities as a field today is teaching medical students how to harmonize technological innovations with care models such that patients are treated as whole persons: They have not just bodies but also minds, relationships—and lives. 

Researchers explored more than 52 years of data, highlighting several key trends in the Journal of the American Heart Association.

Federal lawmakers have a fresh resource to keep them up on healthcare AI that falls outside of formal FDA oversight. It comes in the form of a new report from the nonprofit Bipartisan Policy Center.

Patients who frequently use AI tend to readily trust AI-assisted diagnoses made by their physicians. Counterintuitively, however, those who would rank themselves among the very best-informed about AI tend to mistrust such diagnoses.