A machine learning model was developed to differentiate between individuals with mild cognitive impairment (MCI) and cognitively normal (CN) individuals by analyzing their spoken responses to specific questions.
*Participants aged 50 and above were evaluated using standard clinical assessments, while a research app recorded their answers during neuropsychological tasks.
*The resulting model showed promising results, effectively classifying MCI and CN with a 75% accuracy rate, suggesting potential for future applications in smartphone tools and services for easier MCI detection.*