Mosaic expects the collaboration with the FDA will help address diagnostic capacity constraints in the US healthcare system.

Add Yahoo as a preferred source to see more of our stories on Google. Researchers pitted 72 radiologists against four AI tools in an analysis of more than 2,000 X-rays. The human experts won. Image ...

Please provide your email address to receive an email when new articles are posted on . When assisted by artificial intelligence, physicians achieved a higher diagnostic accuracy in interpreting chest ...

OAK BROOK, Ill. - A sophisticated type of artificial intelligence (AI) can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists, according to a study published ...

OAK BROOK, Ill. – In a study of more than 2,000 chest X-rays, radiologists outperformed AI in accurately identifying the presence and absence of three common lung diseases, according to a study ...

SALT LAKE CITY--(BUSINESS WIRE)--From 20 minutes or more to 10 seconds. Researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how quickly a new system they studied ...

AI tools may help boost radiologists' confidence in their diagnoses, but they can't be relied on to identify common lung diseases on chest X-rays, a new study says. Researchers pitted 72 radiologists ...