Technology giant Tencent has begun a clinical trial in London of its AI program to diagnose Parkinson’s disease, Financial Times reported.

There’s a lot of buzz about the applications of AI in the healthcare sector, but the innovations are still in infancy, leaving the potential use––and dangers––of AI in clinical settings unknown.

A machine learning tool for speech analysis has been shown capable of diagnosing childhood depression and anxiety with 80% accuracy.

Researchers studying the basis of visual recognition in two distinct disciplines—computer science and brain science—have put their heads together to advance both fields at once.

Accenture, a global professional services company, has teamed up with Stockholm Exergi, one of Sweden’s largest energy suppliers, to put AI to the test in a new project aimed at addressing loneliness among seniors.

Drug development is on the cusp of becoming considerably faster, smarter and all-around better.

Options are increasing for healthcare consumers looking to check their symptoms with an AI digital platform for self-diagnosis. However, research into the use, accuracy and regulation of these technologies is woefully scant.

Nearly one in six young women who suffer a heart attack can’t be classified under the Fourth Universal Definition of MI, according to a study out of Yale University—but the majority can be accurately classified using a sex-specific taxonomy known as VIRGO.