Uber Health, the healthcare subsidiary of rideshare company Uber, has granted access of its American fleet to a blockchain startup. The relationship establishes blockchain and cryptocurrency in the healthcare space.

Machine learning can tease out which location-specific—or “area-level”—social determinants of health warrant close monitoring in people who have diabetes and are at risk of losing control over it.  

Cardiologists discuss the questions and concerns swirling around the thriving wearables market as patients strap on a variety of smart devices and expect their physicians to catch up.

U.K. residents will soon be able to utilize their Amazon Alexa voice technology to get certain medical information, after the National Health Service (NHS) struck a partnership with Amazon.

If it’s to progress from capturing the public’s imagination to earning widespread clinical implementation, healthcare AI has a long road to travel.  

Only half of the world’s countries offer cardiac rehabilitation programs, according to a recent survey, leaving some 18 million heart patients across the globe without access to therapy that could vastly improve their prognosis and quality of life.

Machine learning is being quickly adapted across the healthcare space to develop precision medicine, and it can also be leveraged to improve the development of new drug treatments and devices by improving the randomized clinical trial process, according to MIT researchers.

Koios Medical, Inc has received 510(k) clearance from the U.S. Food and Drug Administration for Koios DS (Decision Support) Breast 2.0, a new version of its machine learning based platform that assists physicians in the classification and diagnosis of breast cancer.