Some 33.3% of cancer patients add their own alternative treatment regimen to whatever conventional cancer care they’re receiving—and almost 30% of those don’t tell their doctors they’re doing so.

As precision medicine transforms disease treatment into a patient-by-patient art and science, AI is poised to help quickly identify or even predict genetic mutations, pointing the way to highly targeted therapies.

Omega Medical Imaging’s FluoroShield gained FDA clearance this month, becoming the first AI-enabled radiation reduction technology to hit the market.

The majority of recent journal studies evaluating the performance of AI algorithms failed to adequately validate test results, according to a meta-analysis published in the Korean Journal of Radiology, meaning most of that research can only serve as proof-of-concept and might not translate into clinical performance.

A team-based protocol for treating cardiogenic shock helped one center boost its 30-day survival rates for those patients by nearly 20 percentage points over a two-year period, researchers reported in the Journal of the American College of Cardiology.

AI is poised to make a sizable impact on healthcare this year, but we’ll likely see the greatest dent in the areas of medical imaging, diagnostics and suicide risk prediction, according to data presented at the Partners HealthCare World Medical Innovation Forum in Boston.

A rare and difficult-to-diagnose genetic condition that raises LDL (bad) cholesterol to dangerous levels is now vulnerable to an AI tool.

As incidents producing mass casualties can occur anywhere at any time, leadership at trauma centers of all levels do well to prepare. A good place to start is learning from the experiences of urban hospitals dealing with shooting victims every day or close to it.