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New AI Framework Decouples Alzheimer’s Pathology from Normal Brain Activity in PET Scans
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Researchers developed an interpretable machine learning framework that separates disease-specific abnormalities from normal physiologic uptake in Alzheimer’s PET imaging, generating a clinically relevant biomarker more strongly associated with cognitive outcomes than standard metrics.
Original paper: Decoupling Alzheimer Disease Pathologic Abnormalities at PET with Improved Clinical Relevance by Interpretable Adversarial Decomposition Learning. — Radiology. 10.1148/radiol.252321
