Abstract: A computer-implemented system (CIS) is provided for processing and/or analyzing non-contrast-enhance computer tomography medical imaging input data is described. The CIS contains (i) twin U-Net architectures with equal weights, which are built on a Siamese architecture, and (ii) a Dissimilar block operably linked to the two U-Net architectures, and built on top of the Siamese-U-Net architecture to form a Dissimilar-Siamese-U-Net architecture. The computer-implemented system can be used in diagnosing acute ischemic stroke and/or thromoboembolus, by analyzing separate and independent input images of the left and right hemispheres of a brain. The diagnosis is based on a detection of the presence of a hyperdense middle cerebral artery sign.

Abstract: Disclosed are systems and methods using artificial intelligence for the detection and characterization of liver cancers.