Artificial Intelligence Tools to Evaluate Language and Speech Patterns in Alzheimer's Disease

Speech and language problems are one of the earliest signs of neurodegenerative diseases including Alzheimer’s disease (AD), but they are often difficult to detect especially in the early stages. Utility of assessing speech and language problems using artificial intelligence (AI) has been examined in the past. However, the accuracy of different methods has been variable, preventing incorporation of these techniques in clinical use. In this study, we present different speech‐based machine learning techniques. We focused on the automatic extraction of a wide array of interpretable features from the speech signals, then compared these features across different neurological disorders.