Researchers have developed artificial intelligence models capable of detecting early signs of Alzheimer’s disease by analyzing subtle changes in speech patterns. The system examines acoustic features, vocabulary diversity, and syntactic complexity during conversational tasks, identifying markers often imperceptible to human listeners. In clinical trials, the AI demonstrated high accuracy in distinguishing between healthy individuals and those with early cognitive decline. This non-invasive approach could enable earlier diagnosis and intervention, potentially slowing disease progression. Experts caution that while promising, the technology requires further validation across diverse populations before widespread clinical use. Read the full article at https://sciencedaily.com/releases/2024/10/240415120543.htm