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.

Johns Hopkins

Why does COVID-19 severely sicken some people and barely bother others who catch it? The C-suite at Johns Hopkins is hoping technology can help unravel this mystery.

AI-aided physicians are better at diagnosing real-world skin cancer than either AI or physicians alone, and the least-experienced clinicians derive the most benefit from the algorithmic assist.

Analysis

The COVID-19 crisis has worsened or exposed myriad problems in healthcare delivery. One is the way patients find physicians and hospitals. AI can help with that.

Choices

During the fourth, fifth or sixth year of medical school, more than half of students across faculties in Brazil’s largest city believe AI is a threat to the radiology job market.

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.