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Recent research from the University of Toronto reveals a significant link between speech rate and cognitive decline in older adults. The study analyzed speech patterns of 125 individuals aged 18 to 90, suggesting that speech velocity may serve as an early indicator of cognitive health. This finding challenges traditional cognitive assessments that primarily focus on memory and problem-solving skills.
The implications of this research are profound, as it opens new avenues for early detection of neurodegenerative diseases like Alzheimer's. By utilizing AI-powered speech analysis, scientists can identify subtle changes in speech that may indicate cognitive decline years before more severe symptoms manifest. This innovative approach could revolutionize how cognitive health is monitored and managed.
• Speech rate may predict cognitive decline in older adults.
• AI-powered analysis identifies subtle speech changes linked to cognitive health.
Speech rate analysis is used to assess cognitive health by measuring how quickly individuals speak.
Natural language processing technologies enable the analysis of speech patterns to detect cognitive decline.
AI-powered speech analysis allows for the identification of subtle changes in speech that indicate cognitive issues.
The University of Toronto conducted groundbreaking research linking speech patterns to cognitive decline.
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