This invention describes a computer system that automatically finds blockages in large blood vessels of a patient's brain using CT angiogram images. It uses a specialized machine learning program, a 3D convolutional neural network, to identify which side of the brain the blockage is on and the exact artery affected, such as the internal carotid or specific segments of the middle cerebral artery. The system then creates a 3D image for a doctor to visually confirm the blockage.
Why it matters: Since 2020, significant advancements in 3D convolutional neural networks and the availability of larger, more diverse medical imaging datasets have made AI-driven diagnostic tools like this more accurate and efficient to develop and deploy.
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