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—such as increased repetition, grammatical simplification, and word-finding pauses—that often precede clinical diagnosis. In a recent study, the AI demonstrated an 85% accuracy rate in forecasting which patients would develop Alzheimer’s within two years, outperforming standard cognitive tests. This non-invasive tool could enable earlier interventions and more personalized treatment plans. The research team emphasizes that the model is intended to assist clinicians, not replace them, and further validation in larger, more diverse populations is needed. Read the full article at https://sciencedaily.com/releases/2023/10/231018115645.htm.