Accexible Speech Analysis for MCI Detection and Monitoring in Colombia
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
1 other identifier
observational
114
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started May 2022
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 22, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 17, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 17, 2024
CompletedFirst Submitted
Initial submission to the registry
April 21, 2026
CompletedFirst Posted
Study publicly available on registry
April 27, 2026
CompletedApril 27, 2026
April 1, 2026
2.1 years
April 21, 2026
April 21, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Diagnostic accuracy of acceXible compared to MoCA for MCI detection
Sensitivity and specificity of the acceXible speech-based platform relative to the MoCA (reference standard; cutoff \<30 = abnormal) for detecting MCI in adults aged ≥55 years. Additional metrics: area under the ROC curve (AUC), positive and negative predictive values (PPV, NPV), and likelihood ratios.
Baseline
Interventions
Speech Analysis Tool
Eligibility Criteria
Adults aged \>60 years attending in-person primary care consultations within the EPS Sanitas network (Bogotá, Colombia).
You may qualify if:
- Ability to independently operate a mobile or portable device with internet connectivity and integrated microphone
- Provision of voluntary written informed consent prior to study participation
You may not qualify if:
- Diagnosed psychiatric disorder or cognitive impairment not attributable to neurodegenerative etiology
- Visual impairment sufficient to preclude reading on-screen text or perceiving visual stimuli
- Illiteracy
- Hearing impairment sufficient to preclude comprehension of verbal instructions or detection of auditory test-onset cues
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Accexiblelead
- Fundación Universitaria Sanitascollaborator
Study Sites (1)
Fundación Universitaria Sanitas
Bogotá, 110911, Colombia
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 21, 2026
First Posted
April 27, 2026
Study Start
May 22, 2022
Primary Completion
June 17, 2024
Study Completion
June 17, 2024
Last Updated
April 27, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share