The rapid rise of AI could potentially change healthcare forever, leading to faster diagnoses and allowing providers to spend more time communicating directly with patients. According to a new report from the Brookings Institution, however, there are also risks associated with AI in healthcare that must be addressed.

Electronic health records received an 'F' rating from Yale researchers who analyzed and rated the technologies on quality and efficiency.

Google was hoping to release a massive dataset of chest x-rays to the public in 2017, but had to cancel at the last minute after receiving an urgent call from the National Institutes of Health (NIH).   

Following up with heart patients via computer or smartphone helped facilitate communication between patients, families and care teams in a small-scale study out of Children’s National Hospital in Washington, D.C.

Ultromics, a U.K.-based healthcare technology company, has gained FDA clearance for its new AI-powered image analysis solution.

Machine learning can help predict the life expectancy of heart failure patients, according to new research published in the European Journal of Heart Failure.

Sheba Medical Center (SMC) in Israel has announced that it is working with XRHealth to become the first fully VR-based hospital in the world.

AI can identify patients at risk of dying—of any cause—within the next year or of developing an irregular heartbeat, according to two new studies to be presented at the American Heart Association’s Scientific Sessions 2019.