Abstract: There is described a computer-implemented method for selecting readers for analyzing a medical image, comprising use of at least one processing unit for: receiving an order due-in-time requirement associated with a given radiology order, the radiology order being associated with the medical image to be analyzed; receiving an order expected reading time for analyzing the medical image for each reader of a group of readers, each reader having a respective order analysis schedule of assigned orders, each assigned order being provided with a respective due-in-time requirement and a respective expected reading time; identifying adequate readers for whom the given radiology order is insertable in the respective order analysis schedule using the order due-in-time requirement associated with the given radiology order, the order expected reading time, and the respective due-in-time requirement and respective expecting reading time for each one of the assigned orders; and outputting an identification of the adequate re

Abstract: There is described a computer-implemented method for selecting readers to analyze a medical image, comprising use of at least one processing unit for: receiving a radiology order associated with the medical image; determining an order subspecialty corresponding to the radiology order; comparing a reader subspecialty of each one of a group of readers to the determined order subspecialty of the radiology order; identifying given readers amongst the group of readers who are qualified for analyzing the radiology order using the comparison; and outputting an identification of the given readers.

Abstract: The invention relates to the field of computerized generation of a visualization from a plurality of images. In particular, the invention relates to generating a three-dimensional (3D) visualization from a plurality of two-dimensional (2D) medical images. The images may be obtained from an ultrasound device. Regions of interest are segmented in at least two images and the region of interest is then tracked and segmented among the remaining images.

Abstract: The invention relates to the field of computerized generation of a visualization from a plurality of images. In particular, the invention relates to generating a three-dimensional (3D) visualization from a plurality of two-dimensional (2D) medical images. The images may be obtained from an ultrasound device. Regions of interest are segmented in at least two images and the region of interest is then tracked and segmented among the remaining images.

Abstract: The invention provides a system and method for processing medical images. Input medical images are normalized first, utilizing pixel intensities of control point tissues, including subcutaneous fat. Clustered density map and malignance probability map are generated from a normalized image and further analyzed to identify regions of common internal characteristics, or blobs, that may represent lesions. These blobs are analyzed and classified to differentiate possible true lesions from other types of non-malignant masses often seen in medical images.