Deep-learning models trained to detect pneumonia from chest X-rays performed worse when tested on X-rays from outside their original hospital systems, suggesting AI tools should undergo a wide range of testing before being used in clinical settings.

Artificial intelligence may help stop the “downward spiral in productivity” in the U.S. healthcare system, which has been plagued by labor-intensive, inefficient administrative tasks, according to an article in the Harvard Business Review.

As social determinants of health (SDH) play a more prominent role in healthcare, more providers are looking for ways to incorporate social needs into electronic health records. But documenting SDH alongside other health information in EHRs isn’t so easy, according to a recent study published in the Annals of Family Medicine.

Three more states elected to expand Medicaid in the midterm elections, including Idaho, Nebraska and Utah, NBC News reported.

A deep learning algorithm developed using imaging data from more than 1,000 Alzheimer’s disease (AD) patients can accurately predict the presence of AD more than six years before a doctor finalizes a diagnosis, researchers reported in Radiology Nov. 6.

Five technology centers dedicated to using AI to speed up disease diagnosis and improve patient outcomes are opening throughout the United Kingdom.

Researchers at the University of California, Los Angeles created a cheap, portable device that uses artificial intelligence (AI) to recognize and classify common airborne allergens.

NinePoint Medical, a Massachusetts-based medical device company, has received market clearance from the FDA for its new AI-based platform for image feature segmentation.