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.

soft robot

If an AI-brained surgical robot refuses to do its job at a critical moment in the OR, who is responsible for stepping in?

Fitness Watch

One state’s largest health system is combining forces with that state’s top medical school to launch a multidisciplinary digital health center that’s notable for its apparent velocity out of the gate.

Prostate Cancer

Researchers have demonstrated the use of an AI tool that can accurately identify or rule out prostate cancer on digitized pathology slides from core needle biopsies.

Green Light

The FDA has OK’d the sixth medical AI application developed by Israel-based Zebra Medical Vision. The latest iteration helps breast-specialized radiologists by flagging questionable lesions appearing in 2D mammograms.

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.