AAIC 2025 Abstract

Feasibility of detecting cognitive impairment using Natural Language Processing‐AI analysis of digital voice recordings of a brief neuropsychological battery obtained by a smartphone

Study in peopleBiomarkers

Abstract

Background: Mobile‐based cognitive assessments offer a promising low‐burden approach to screen for cognitive impairment, but their tolerability and diagnostic accuracy remain underexplored (Vanderlip et al., 2024).

The paper

Massachusetts General Hospital; Harvard University

AAIC 2025 Abstract, 23 Dec 2025, CC BY

Presented at AAIC 2025

doi.org/10.1002/alz70861_108806