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.

A Pennsylvania health insurance company issued a notice following a security incident that exposed the private health information of some members.

Opioids

In a recent blog post, the Department of Health and Human Services said it’s releasing materials to encourage physicians to take advantage of telemedicine tools in the ongoing effort to stop the opioid epidemic and better help patients who can’t easily access treatment.

Humana and Fitbit are expanding their partnership to allow more than 5 million of the insurer’s members to potentially have access to Fitbit wellness solutions or health coaching.

Twenty-three percent of healthcare providers have no plans to adopt speech recognition into their electronic health records (EHR) system despite it being an “effective, proven tool,” according to a new report.

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.