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.

Penn Medicine recently launched its initiative to “transform” EHRs by making them smarter, streamlined and more interactive—with the ultimate goal of easing the work of clinicians, expediting care and creating the best patient outcomes.

handshake

Veterans Affairs Secretary Robert Wilkie and Department of Defense Secretary James Mattis have pledged to align their efforts as the agencies roll out a new electronic health record (EHR) system.

Amazon logo

A new version of Amazon’s virtual assistant Alexa may be able to detect when its user is sick, according to a report by the Daily Telegraph.

Raman spectroscopy blood-glucose monitor

People living with diabetes may soon have a noninvasive option for monitoring their blood glucose levels after a new device was proven to be just as effective as a finger prick test.

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.