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Open access Sep 2026

Systematic Modality Ablation of Multimodal Machine Learning for Predicting 24-Month Progression from Mild Cognitive Impairment to Alzheimer's Disease

Multimodal biomarkers have transformed Alzheimer's disease research, but the incremental contribution of individual modalities to predicting progression from mild cognitive impairment (MCI) remains unclear. We systematically evaluated the contribution of demographic, cognitive, genetic, structural imaging, cerebrospina...

S. Choe · 0 citations
Open access Sep 2026

Comparative Value of Cognitive and Functional Assessments for Predicting 24-Month Progression from Mild Cognitive Impairment to Alzheimer's Disease: An ADNI Cohort Study

Accurate prediction of progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is important for prognosis, patient management, and clinical trial enrollment. Cognitive and functional assessments are routinely used in memory clinics, but their relative predictive value remains unclear. We sought to...

S. Choe · 0 citations

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