Computer-Aided Detection Software

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...

VuComp Inc. announced that it has submitted to the U.S. Food and Drug Administration (FDA) its premarket approval application (PMA) for computer-aided detection (CAD) for digital breast tomosynthesis (DBT).