AI-powered Language Assessment Tools for Dementia

TL;DR

This paper proposes an AI-powered language assessment tool for dementia, utilizing machine learning classifiers to evaluate language impairments, and analyzes various factors affecting its accuracy and reliability.

Contribution

It introduces a novel AI-based approach for dementia language assessment, evaluating multiple classifiers and factors influencing performance.

Findings

Different classifiers vary in sensitivity and specificity.

Language task types impact classifier performance.

Recording media influence assessment accuracy.

Abstract

The main objective of this paper is to propose an approach for developing an Artificial Intelligence (AI)-powered Language Assessment (LA) tool. Such tools can be used to assess language impairments associated with dementia in older adults. The Machine Learning (ML) classifiers are the main parts of our proposed approach, therefore to develop an accurate tool with high sensitivity and specificity, we consider different binary classifiers and evaluate their performances. We also assess the reliability and validity of our approach by comparing the impact of different types of language tasks, features, and recording media on the performance of ML classifiers.