Want to see AI in healthcare? Look anywhere. Want to see AI underperforming in healthcare? The same directive applies.

Researchers have used machine learning to develop a blood test that can find 50 or so types of cancer.

Two radiologists reflect on what went wrong AI-wise with the Boeing 737 MAX, outlining potential parallels between aviation and their specialty. 

Stanford researchers have developed a way to screen for lung cancer by combining next-gen molecular DNA quantification with machine learning. The experimental technique requires only a blood test and could, with refinement, replace low-dose CT scanning as an initial exam for longtime smokers.

Researchers in South Korea have shown that AI trained on photos of both Asian and Caucasian patients can help dermatologists more accurately diagnose many diseases and disorders of the skin in both subpopulations.

Venture capital firm General Catalyst and other investors are sinking $51 million into Columbus, Ohio-based Olive with the aim of growing the AI startup’s capacity for automating administrative processes in healthcare.

An AI algorithm can assess echocardiograms “more rapidly and comprehensively” than experienced cardiologists, according to a new study published in Nature.

“By improving identification of patients needing osteoporosis treatment or prevention, XRAIT may help reduce the risk of a second fracture and the overall burden of illness and death from osteoporosis,” epidemiology experts said Tuesday.

“This is one of the first times that artificial intelligence has been used to better define the different parts of a newborn's brain on an MRI," Canadian researchers explained March 26 in Frontiers in Neuroscience.