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 human clinicians. Early testing shows the AI can predict disease progression up to two years in advance with significant accuracy. This non-invasive tool could enable earlier interventions and more personalized treatment plans. The research team emphasizes that the model is intended to assist, not replace, clinical diagnosis. Further validation in larger, more diverse populations is needed before clinical implementation. Read the full article at https://sciencedaily.com/releases/2023/10/231018115645.htm.