AI for diabetic retinopathy

Buzzworthy developments of the past few days.

physician artificial intelligence

AI adoption for real-world healthcare settings can’t happen in a vacuum. 

artificial intelligence in healthcare

Buzzworthy developments of the past few days.

artificial intelligence for family medicine primary care

ChatGPT is only so-so at letting physicians know if any given clinical study is relevant to their patient rosters and, as such, deserving of a full, time-consuming read. On the other hand ... 

artificial intelligence AI in healthcare

Buzzworthy developments of the past few days.

artificial intelligence kaiser permanente

Imperfect algorithms. Resistant clinicians. Wary patients. Divisive disparities. The plot ingredients of a flashy techno-thriller coming to a cineplex near you? No—just a few of the many worries that provider organizations take on when they move to adopt AI at scale. 

artificial intelligence code face

Buzzworthy developments of the past few days.

artificial intelligence gold rush

It’s more critical for U.S. healthcare to get medical AI right than to get it adopted far, wide and ASAP.

Physicians at the Froedtert & Medical College of Wisconsin (MCW), in Milwaukee, Wisconsin, will now have access to a mobile tool that monitors patients' progress during pregnancy.

Respiratory tract infection (RTI) patients who were prescribed antibiotics during virtual visits rated their physicians better than patients who weren’t prescribed any antibiotics.

With help from a $250,000 grant, a Los Angeles-based non-profit organization is working to provide asthmatic children with “smart” inhalers.

wearables

A woman’s Fitbit health data was used to arrest her 90-year-old stepfather accused of killing her and staging her death to look like a suicide, according to a report by USA Today.

Around the web

A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.

The new collaboration is designed to ensure patients who may face an increased risk of heart disease receive the follow-up care they need.

The new algorithm from Viz.ai is capable of identifying, labeling and quantifying brain bleeds in noncontrast CT images.