Accexible Speech Analysis for MCI Detection and Monitoring in Colombia

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.

NCT Number	NCT07553117
Lead Sponsor	Accexible Collaborators: Fundación Universitaria Sanitas (UNISANITAS)
Conditions	MCI
Enrollment	114 participants
Start Date	2022-05-22
Primary Completion	2024-06-17 (estimated)
Study Completion	2024-06-17 (estimated)
Updated on ClinicalTrials.gov	2026-05-08