A new artificial intelligence model developed by researchers at the University of California, San Francisco, demonstrates significant potential in predicting the progression of Alzheimer’s disease. The model analyzes brain scans and cognitive test results to forecast which patients with mild cognitive impairment are most likely to develop Alzheimer’s within six years. In validation tests, the AI achieved an accuracy rate of over 80%, outperforming traditional diagnostic methods. Researchers emphasize that the tool is intended to assist clinicians in early intervention planning and clinical trial recruitment, not to provide a definitive diagnosis. Further validation in larger, more diverse populations is required before clinical implementation. Read the full article at https://sciencedaily.com/releases/2023/10/231012134522.htm.