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Validation of acceXible's Automated Speech Analysis Method for the Early Detection and Monitoring of Patients With Mild Impairment or Dementia in Primary Care

NCT05380297 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 273

Last updated 2026-04-01

No results posted yet for this study

Summary

Dementia, especially dementia caused by Alzheimer's disease, is considered one of the most severe health problems of our time. It is currently known that the disease begins many years before clinical symptoms appear. The sooner the patient is diagnosed, the sooner the patient will be in a position to prevent further deterioration.

A recent orientation is the analysis of language in relation to the description of images with a high and varied semantic and emotional content. It can be studied that changes in the description of an image check if these changes are associated with the evolution of a person with probable impairment both in memory and cognitive as well as emotional, psychiatric, behavioral and even in their interaction with environmental factors especially those associated with socialization and loneliness.

Thus, the purpose of this study is to validate speech analysis AI models.

Conditions

Interventions

DEVICE

Speech analysis

Speech analysis to detect and monitor mild cognitive impairment

Sponsors & Collaborators

  • Accexible

    lead INDUSTRY

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
55 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-05-17
Primary Completion
2024-04-18
Completion
2024-04-18

Countries

  • Spain

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05380297 on ClinicalTrials.gov