MCH‐Guard: Multimodal machine learning framework for risk stratification of cerebral microhemorrhage risk in the Alzheimer’s Disease Neuroimaging Initiative

Abstract INTRODUCTION Efficient cerebral microhemorrhage (MCH) monitoring is critical for anti-amyloid therapy safety due to amyloid-related imaging abnormalities with hemosiderin deposition (ARIA-H) risk. We developed MCH-Guard, a multimodal machine-learning...