High‐generalizability Deep Learning Framework for Early Detection of Mild Cognitive Impairment Progression to Alzheimer's Disease

Early diagnosis of MCI progression to AD is critical for enabling timely interventions that can potentially delay disease progression. Our proposed deep learning framework demonstrated high accuracy and generalizability in diagnosing MCI progression to AD and distinguishing between CN and MCI individuals. These results highlight the potential of our approach as a robust and reliable tool for early diagnosis of Alzheimer's disease, leveraging advanced neuroimaging analysis to support clinical decision-making.