A healthcare AI startup whose product scours EMRs to quickly find qualified patients for clinical trials has raised $17 million in Series A funding.

For RSNA’s Radiology journal, AI was one of the most popular topics of 2019.

The American College of Radiology (ACR) Data Science Institute (DSI) has created a new resource for radiology researchers: a full list of FDA-cleared AI algorithms related to medical imaging.  

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

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

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.

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.

Gilead Sciences, a Foster City, California-based biopharmaceutical company, is scheduled to present new AI-powered research related to nonalcoholic steatohepatitis (NASH) at The Liver Meeting 2019 in Boston.

It is traditionally believed that men and women experience angina—the pain associated with coronary artery disease—in different ways, with men feeling it in their chest and women feeling it in their arms and back.

PathAI, a Boston-based healthcare technology company, has found that AI can help specialists quantify PD-L1 expression on both tumor cells and immune cells.

Cancer Research UK, one of the world’s largest charities focused on improving cancer treatments, has launched a new research network focused on advanced radiotherapy techniques, immunotherapies and AI.

Researchers from the University at Buffalo in New York are working to turn a $200,000 grant into groundbreaking diabetes research.