Abstract: A training method for improving diagnostic accuracy and reducing variability in the interpretation of radiologic exams. Exam images, whether presented on radiographic film, on photographic paper, or on a computer monitor, are interpreted using standardized feature descriptors, such as in BI-RADS. The exam interpreter uses the feature descriptors to characterize findings in exam images and provides an assessment and conclusion concerning the presence of biologic processes that would have caused the image finding. Evidence for the presence or absence of these biologic processes is obtained. Measures of diagnostic accuracy are calculated from these data and all this information is tracked and associated with the exams.

Abstract: A navigation and display system for digital radiographs comprises one high definition monitor (or two) for viewing digitally acquired images, a video buffer for storing the images to be displayed, and a control console having a graphical user interface (GUI) for controlling the display of the images on the high definition monitor. By storing all of the images to be displayed for a patient study in the video buffer, the images can be selectively displayed in a seemingly instantaneous manner. The GUI displays multiple icons, where each icon represents one of the radiographic images for the patient study in question. A cursor on the GUI is coupled to a mouse, where movement of the mouse controls the location of the cursor with respect to the icons, and hence the image(s) displayed on the high definition monitor. The icons are arranged such that hand movements required to control the mouse correspond to head and eye movements made by radiologists when viewing similar images on hard copy film.