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.

Researcher

Fresh off an investment infusion of $25 million, a tech startup has launched an ambitious virtual consortium to seek “breakthrough medical discoveries and actionable findings” for the global battle against COVID-19. 

Brain

The University of Pennsylvania is teaming with Intel to lead a federation of more than two dozen medical and research centers on an AI system for identifying brain tumors.

Smartphone App

Researchers in the U.K. and U.S. have developed an automatic prediction model that can tell if someone is infected with COVID-19 based on symptoms alone.

The aim of the collaboration is to map out cardiac irregularities caused by the virus.

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.