Researchers have used AI technology to ensure HIV patients experience fewer significant side effects during treatment, according to new findings published in Advanced Therapeutics.

Machine learning can help predict the life expectancy of heart failure patients, according to new research published in the European Journal of Heart Failure.

Researchers have developed an AI algorithm that can identify cancer cells in digital pathology images, sharing their findings in EBioMedicine.

Deep learning models can improve the detection of attention deficit hyperactivity disorder (ADHD), according to new findings published in Radiology: Artificial Intelligence.

Working closely with AI has led researchers from one institution to embrace a familiar piece of technology that may surprise many of their peers: the USB drive.

The U.S. Department of Veterans Affairs (VA) has launched the National Artificial Intelligence Institute (NAII) to develop AI research for improving the health and well-being of U.S. veterans. 

Oncopole, a Montreal-based research center, announced that five teams won the Onco-Tech Competition and will receive a total of $1.97 ($2.6 million CAD) in funding.

AI can identify patients at risk of dying—of any cause—within the next year or of developing an irregular heartbeat, according to two new studies to be presented at the American Heart Association’s Scientific Sessions 2019.

The Mark Foundation for Cancer Research (MFCR) has contributed funding to eight different research projects that involve AI.