Patent ID: 11935230
Assignee: SIEMENS HEALTHINEERS AG
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for identifying an abnormal medical image, the method comprising:
receiving a medical image;
segmenting an anatomical structure from the medical image to define a segmented dataset;
registering the segmented dataset to a baseline dataset defining a normal anatomical structure;
classifying, by an abnormality classifier, whether the anatomical structure within the medical image as either abnormal or normal, wherein the abnormality classifier comprises a machine learning algorithm trained to distinguish between normal and abnormal versions of the anatomical structure in medical images; and
based on whether the anatomical structure can be segmented from the medical image, whether the segmented dataset can be registered to the baseline dataset, or a classification associated with the medical image output by the abnormality classifier, flagging the medical image as either normal or abnormal; and
based on whether the medical image has been flagged as normal or abnormal, controlling whether the medical image is in a worklist associated with a radiologist, wherein the worklist is associated with a software platform, the software platform comprising at least one of a picture archiving and communication system, a radiology information system, or a clinical information system.