The VA’s inaugural director of artificial intelligence believes the technology is “the only way” to move healthcare closer to its perennial dual goals of reducing costs and providing better care.

Dermatology researchers have mined Reddit discussion forums with natural language processing and come away with some surprising insights into patients’ at-home skin treatments for conditions like acne, eczema and psoriasis.

Following its search engine-based entry into algorithmic suicide prevention this past spring, the Trevor Project is fine-tuning Google’s AI technology by training algorithms on both initial conversations with counselors and the counselors’ post-session risk assessments.

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.  

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

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.