Predicting Future Clinical Decline with Deep Learning, Neuroimaging, and Demographic Data

Abstract

Background: Each year, approximately 15% of elderly individuals with mild cognitive impairment (MCI) progress to Alzheimer's disease (AD) or related dementias. Predicting this progression is crucial for informing treatment decisions, identifying protective factors, and modeling treatment effects in clinical trials.

The paper