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 detected by humans. In trials, it demonstrated significantly higher accuracy than standard cognitive tests at forecasting which patients would develop Alzheimer’s within six years. The 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 diverse populations is needed. Read the full article at https://sciencedaily.com/releases/2024/05/240521123456.htm