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.

Mental-health professionals training to provide talk therapy can sharpen their clinical listening skills by practicing in chatbot sessions with neural conversational agents.

Three distinguished thinkers who think a lot on the future are asking some big questions about AI.

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.  

The UK’s National Health Service announced Wednesday that it’s partnering with Amazon on AI. The plan is to offer NHS-approved health advice to every Brit who speaks a health-related query into an Alexa-enabled device.

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.

A technology company that uses AI to precisely match medical interventions with individual patients has received a $23 million infusion.