A convolutional neural network (CNN) has beaten a team of 11 pathologists at diagnosing melanoma.

Combining machine learning with statistical modeling, researchers have analyzed tweets to figure out who’s doing more to keep fit—men or women—along with exactly how the sexes are exercising and approximately where they live.

Over the last few years, the number of physicians using telemedicine has doubled, according to a new report from Doximity, and the number continues to increase 20% annually. The new report underscores the growing emergence of the new technologies and the rising need for easy access to medical care among certain populations.

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.

After more than three decades away from the cause, Brigham and Women’s Hospital cardiologist James Muller, MD, is back to warn a younger generation of physicians about the threat and potential consequences of nuclear war, the Boston Globe reports.

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.