Validate speech analysis AI models: * To contrast the accuracy of acceXible's platform as a screening tool in the detection of people with cognitive impairment and mild dementia. * To evaluate the correlation between automatically analyzed linguistic variables and a combination of standard measures of cognition. * To assess short-term variability in language ability among older adults, and to assess which aspects of language vary during the study period.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
300
Speech analysis to detect and monitor mild cognitive impairment
Centro de Prevención de Deterioro Cognitivo
Madrid, Spain
Pre-post variability of normal, MCI and dementia at both points of the study.
Through standard deviation of normal subjects, MCI and dementia, variations in language are measured by considering MMSE scores and the most significant variables of accexible's tests (image description test, phonetic verbal fluency test and semantic verbal fluency test).
Time frame: Change from the baseline cognitive function at 9 months.
Correlation between cognitive tests and language variables obtained by the platform.
Correlation between: Standard measures of cognition (e.g., MMSE score) + behavioral and psychiatric symptoms of mild cognitive impairment and language.
Time frame: Every 6 to 9 months
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