Researchers from Worcester Polytechnic Institute developed a machine-learning model that analyzes MRI scans across 95 brain regions to detect Alzheimer's disease with nearly 93% accuracy, identifying hippocampal volume loss as a key early biomarker.

MIT researchers develop groundbreaking AI-powered software that automatically segments eight distinct nerve fiber bundles in brainstem MRI scans.

Harvard researchers publish BrainIAC foundation model in Nature Neuroscience, predicting dementia, stroke, and cancer from 48,900 MRI scans.