Computer-Aided Detection Software

The U.S. Food and Drug Administration (FDA) announced marketing clearance for Viz.AI’s Contact application, the first artificial intelligence (AI)-based clinical decision support (CDS) solution cleared for sale in the U.S. Viz.AI Contact is designed to analyze computed tomography (CT) results...

A post-game roundup by ITN Contributing Editor Greg Freiherr and ITN Editor Dave Fornell on the key trend of artificial intelligence seen on the show floor at the Radiological Society of North America (RSNA) 2017 meeting.

At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and major academic centers are developing a wide array of artificial intelligence neuro networks to aid radiologists in clinical diagnosis and clinical decision support.

Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explains the basis of the utilization of artificial intelligence (aka deep learning and machine learning) in radiology.

The National Medical Association has joined colorectal cancer care advocacy groups and the American College of Radiology (ACR) in calling on Congress to pass the CT Colonography Screening for Colorectal Cancer Act (H.R. 4632). Introduced in the House by Reps. Brad Wenstrup (R-OH) and Danny Davis...