Clinical Research Directory

Accexible Speech Analysis for MCI Detection and Monitoring in Colombia

Sponsor: Accexible

Summary

Mild Cognitive Impairment (MCI) is frequently underdiagnosed due to its subtle clinical presentation. This study evaluates the diagnostic performance of AcceXible, a speech analysis-based machine learning platform, compared to the Montreal Cognitive Assessment (MoCA) for MCI detection and monitoring in Colombian patients. A diagnostic test accuracy study will be conducted within a primary care setting (EPS Sanitas), including prior validation of the AcceXible protocol in the Colombian healthcare context. The study pursues two primary aims: (1) to validate the AcceXible tool in a Colombian population, and (2) to demonstrate that AcceXible achieves high diagnostic accuracy for early MCI detection and longitudinal monitoring relative to the MoCA.

Official title: Assessment of Sensitivity and Specificity of a Machine Learning System for Detection and Monitoring of Mild Cognitive Impairment (Accexible) Through Speech Analysis in a Colombian Population

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Locations (1)