AI-powered Language Assessment Tools for Dementia
This work addresses the need for accurate language assessment tools for older adults with dementia, but it is incremental as it builds on existing ML methods without introducing a new paradigm.
The paper tackled the problem of assessing language impairments in dementia by proposing an AI-powered tool using machine learning classifiers, achieving high sensitivity and specificity in evaluations.
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.