This article presents a summary of a recent literature study that showed that radiologists often have an inappropriate level of trust in computer-aided diagnosis
systems. Several ways are proposed to facilitate more effective trust calibration.
Computer-aided diagnosis (CAD) systems use image processing and artificial intelligence techniques to detect and/or evaluate abnormalities in medical images.