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

Claim 5:
6. A computer system for identifying an abnormal medical image, the computer system comprising:
a processor; and
a memory coupled to the processor, the memory storing instructions that, when executed by the processor, cause the computer system to:
receive a medical image,
segment an anatomical structure from the medical image to define a segmented dataset,
register the segmented dataset to a baseline dataset defining a normal anatomical structure,
classify, 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
wherein the memory stores further instructions that, when executed by the processor, cause the computer system to:
based on whether the medical image has been flagged as normal or abnormal, remove the medical image from 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.