Artificial intelligence for dementia prevention.

ABSTRACT:

Introduction

A wide range of modifiable risk factors for dementia have been identified. Considerable debate remains about these risk factors, possible interactions between them or with genetic risk, and causality, and how they can help in clinical trial recruitment and drug development. Artificial intelligence (AI) and machine learning (ML) may refine understanding.

Methods

ML approaches are being developed in dementia prevention. We discuss exemplar uses and evaluate the current applications and limitations in the dementia prevention field.

Results

Risk-profiling tools may help identify high-risk populations for clinical trials; however, their performance needs improvement. New risk-profiling and trial-recruitment tools underpinned by ML models may be effective in re

SUBMITTER: Newby D 

PROVIDER: S-EPMC10843720 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature