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.

disruptive artificial intelligence

Given the speed at which generative AI has penetrated every major sector of human endeavor, no expert in any field should pretend to know how to cleanly separate the disruptors from the disrupted.

artificial intelligence google deepmind

Buzzworthy developments of the past few days.

legal liability malpractice artificial intelligence

As healthcare AI opens new avenues to improve care quality without unduly increasing operational costs, the technology also expands potential exposure to civil and criminal liabilities. And that’s not only for providers but also payers and suppliers.

healthcare business deal

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

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.