Diagnostic and prognostic multimodal prediction models in Alzheimer's disease: A scoping review.

ABSTRACT: BackgroundMultimodal prediction models for Alzheimer's disease (AD) are emerging as promising tools for improving detection and informing prognosis.ObjectiveTo summarize the predictive objectives, constituting predictors and algorithms, and performance of existing multimodal prediction models.MethodsWe performed a systematic literature search in Medline, Embase, and Web of Science up to January 15, 2024, to identify prediction models covering the full spectrum of AD, from the preclinical stage to subjective cognitive decline (SCD), mild cognitive impairment (MCI), and AD dementia. The predictors, algorithms, and model performance of prediction models were summarized narratively by their predictive objectives. The review protocol was registered with the Open Science Framework (osf.io/zkw6g)

SUBMITTER: Xia X 

PROVIDER: S-EPMC12583647 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature