Open AccessComputer ScienceMedicine

S. Luz, Fasih Haider, S. Garcia, Davida Fromm, B. MacWhinney

2021.10.21Frontiers in Computer Science

DOI: 10.3389/fcomp.2021.780169

tlooto Summary

AI-enabled speech and language analysis has emerged as promising such biomarker for the assessment of disease status for Alzheimer’s disease.

Abstract

The need for inexpensive, safe, accurate and non-invasive biomarkers for Alzheimer’s disease (AD) has motivated much current research (Mandell and Green, 2011). While diagnosis and evaluation of interventions are still primarily done through clinical assessment, “digital biomarkers” have attracted increasing interest. AI-enabled speech and language analysis has emerged as promising such biomarker for the assessment of disease status (de la Fuente Garcia et al., 2020).

Citation format

LUZ, S., et al. Editorial: Alzheimer’s dementia recognition through spontaneous speech. Frontiers in Computer Science, 2021, 3.