New AI Model Advances Brain Disease Detection Through Mesh Analysis

Researchers developed a hierarchical transformer that analyzes brain structures using multiple morphometric features—cortical thickness, curvature, and myelin content—to improve disease detection. The model achieved state-of-the-art results in Alzheimer's classification and focal cortical dysplasia detection, offering a versatile tool for diverse neuroimaging pipelines.