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.

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People have been anticipating the demise of radiologists for years, speculating that AI will soon be interpreting imaging results with the precision of a seasoned veteran.

Testicular cancer has a high survival rate, but the chemotherapy typically used during treatment can induce nephrotoxicity.

Cybercrime

The COVID crisis has significantly increased the volume of data healthcare providers are rushing into the cloud. This “smash and grab” behavior is largely explained by the spike in healthcare workers doing their jobs remotely.

Covid Forecast

Researchers at Boston’s Beth Israel Deaconess Medical Center are sharing insights they gained while building a locally focused, AI-aided model for anticipating COVID-19’s next moves.  

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.