Researchers have developed a new artificial intelligence model that analyzes speech patterns to predict the progression from mild cognitive impairment to Alzheimer’s disease. The model, trained on hundreds of hours of patient interviews, identifies subtle linguistic changes not easily detectable by humans, such as shifts in grammar, word repetition, and semantic meaning. In trials, the AI demonstrated significantly higher accuracy in forecasting disease progression compared to standard clinical assessments. The tool aims to provide earlier, more objective intervention points, though researchers emphasize it is intended to assist, not replace, clinician judgment. Further validation in larger, more diverse populations is planned. Read the full article at https://sciencedaily.com/releases/2023/10/231018115645.htm