In regions of the world lacking resources to conduct comprehensive autopsies, AI can automatically draw cause-of-death conclusions from verbalized clues.

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.  

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.