  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.
