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 hesitation. In clinical trials, the AI demonstrated an accuracy rate of over 80% in forecasting which patients would develop Alzheimer’s within six years. Experts note that while promising, the tool requires further validation in larger, more diverse populations before clinical use. This non-invasive approach could eventually supplement traditional diagnostic methods like brain scans and spinal fluid tests. Read the full article at https://sciencedaily.com/releases/2023/10/231018115645.htm.