Wearable sensors and artificial intelligence (AI) could help predict the onset of cardiovascular disease by assessing an individual's changes in aerobic responses, according to new research published on Feb. 23 in the Journal of Applied Physiology.

Researchers from the University of California, Los Angeles (UCLA) have developed an algorithm capable of accurately predicting which patients will survive a heart transplant and for how long.

AliveCor and Mayo Clinic have utilized machine learning to identify long QT syndrome (LQTS), with findings presented at the Heart Rhythm Scientific Sessions in Boston.

The Kimia Lab at the University of Waterloo in Ontario, Canada, announced it has received $3.7 million from the Ontario Research Fund-Research Excellence program for its artificial intelligence (AI) search engine project in digital pathology.

Researchers from the at Imperial College London and the University of Edinburgh have developed artificial intelligence (AI) software capable of detecting a common cause of dementia and stroke. Findings were published May 15 in Radiology.

Researchers at Imperial College London and the University of Edinburgh in Scotland developed a machine learning software able to detect small vessel disease, a common cause of dementia and stroke, in brain CT scans with almost 90 percent accuracy.

South Korea’s Ministry of Food and Drug Safety announced this week that, for the very first time, it has approved a medical device that uses artificial intelligence (AI) technology.

South Korea is the latest nation to incorporate artificial intelligence (AI) in their healthcare system. Today, South Korea's Ministry of Food and Drug Safety approved its first AI-based medical device, according to an article published May 16 by the Korea Herald.