Abstract: A system and method are provided for facilitating reading of medical images on a display. The method includes receiving a current medical image corresponding to a subject, and displaying the current medical image; performing image segmentation of the current medical image using a deep learning algorithm to identify a region of interest, and displaying an annotation on the current medical image indicating the region of interest; retrieving a previous medical image and a radiology report corresponding to a previous medical image of the subject; to extract relevant findings; performing NLP on the descriptive text to extract relevant findings, and displaying the relevant findings on the display with the current medical image; and retrieving an interactive checklist from a checklist database, including items for the user to consider when reviewing the current medical image.

Abstract: An apparatus (10) for assessing radiologist performance includes at least one electronic processor (20) programmed to: during reading sessions in which a user is logged into a user interface (UI) (27), present (98) medical imaging examinations (31) via the UI, receive examination reports on the presented medical imaging examinations via the UI, and file the examination reports; and perform a tracking method (102, 202) including at least one of: (i) computing (204) concurrence scores (34) quantifying concurrence between clinical findings contained in the examination reports and corresponding computer-generated clinical findings for the presented medical imaging examinations which are generated by a computer aided diagnostic (CAD) process miming as a background process during the reading sessions; and/or (ii) determining (208) reading times (38) for the presented medical imaging examinations wherein the reading time for each presented medical imaging examination is the time interval between a start of the prese