Telemedicine Self-examination of Speech and Memory for Rapid Detection of Cognitive Impairments Using Machine Learning Methods
1 other identifier
interventional
500
1 country
3
Brief Summary
Early cognitive disorders diagnosis is becoming increasingly important due to population aging. The most common causes include Alzheimer's disease and frontotemporal dementia. These diseases are also manifested by changes in speech. NLP allows us to identify and classify these changes. The project aims to develop a web application for self-assessment and automated detection of cognitive disorders from speech. The application will have a form of a dialogue system using machine learning methods. The novelty of this approach is the possibility of an efficient self-assessment of a wide spectrum of the Czech population from their homes and an automated evaluation of test results. Early detection can be followed by a more detailed diagnosis and adequate treatment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Sep 2023
Typical duration for not_applicable
3 active sites
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
September 1, 2023
CompletedFirst Submitted
Initial submission to the registry
December 16, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedFirst Posted
Study publicly available on registry
April 30, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2026
ExpectedApril 30, 2026
April 1, 2026
2.3 years
December 16, 2025
April 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
The difference in results between groups of patients with cognitive impairment and healthy individuals in individual parts of our experimental neuropsychological battery Diagnostic Test: Digitial Diagnostics of Dementia (DDD)
Through study completion, an average of 2 years
Correlation of the results of our experimental battery (DDD) with RBANS
Through study completion, an average of 2 years
Correlation of the results of our experimental battery (DDD) with MAST
Through study completion, an average of 2 years
Correlation of the results of our experimental battery (DDD) with ALBA
Through study completion, an average of 2 years
Correlation of the results of our experimental battery (DDD) with POBAV
Through study completion, an average of 2 years
Study Arms (2)
Group of patients with neurocognitive disorder
EXPERIMENTALThe experimental group consists of patients with Mild Cognitive Impariment (MCI) and dementia.
Healthy elderly participants
ACTIVE COMPARATORThe control group consists of cognitively healthy elderly participants.
Interventions
he Mississippi Aphasia Screening Test (MAST) was developed as a brief, repeatable screening measure for individuals with severely impaired communication/language skills.
Very brief test used to measure deficits of more cognitive functions (short-term, episodic, semantic amnesia, sensory and motor aphasia, apraxia, psychomotor speed).
Very brief test used to measure deficits of more cognitive functions (short-term, episodic, semantic amnesia, sensory and motor aphasia, apraxia, psychomotor speed).
The Geriatric Depression Scale (GDS-15), used to screen for depression in adults aged 55 and older, consists of 15 items that assess mental health based on feelings over the past week.
A formative assessment and rating scale of anxiety.
Our experimental screening battery developed for this study.
A brief individually administered battery to measure cognitive decline or improvement across five domains in ages 12 to 89 years 11 months.
Eligibility Criteria
You may qualify if:
- age over 45 years
- Czech as the native language
- must meet the criteria in a questionnaire with questions focused on a history of brain injury or psychiatric history or medication use
- must achieve normal scores on questionnaires assessing mood
- \- be diagnosed with mild neurocognitive impairment (MCI) or neurocognitive disorder (dementia) according to the international DSM-5 criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (3)
Západočeská univerzita v Plzni / Fakulta aplikovaných věd
Pilsen, 306 14, Czechia
Faculty Hospital Kralovske Vinohrady
Prague, 100 00, Czechia
Fyzikální ústav AV ČR, v. v. i.
Prague, Czechia
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Luboš Šmídl, Ing. Ph.D.
Západočeská univerzita v Plzni / Fakulta aplikovaných věd
- PRINCIPAL INVESTIGATOR
Jan Švec, Ing. Ph.D.
Západočeská univerzita v Plzni / Fakulta aplikovaných věd
- PRINCIPAL INVESTIGATOR
Filip Polák, Ing.
Západočeská univerzita v Plzni / Fakulta aplikovaných věd
- STUDY DIRECTOR
Aleš Bartoš, prof. MUDr. Ph.D.
Fakultní nemocnice Královské Vinohrady
- STUDY DIRECTOR
Martin Víta, Mgr. Ph.D.
Fyzikální ústav AV ČR, v. v. i.
- PRINCIPAL INVESTIGATOR
Marie Kompasová, Mgr.
Univerzita Karlova, Fakultní nemocnice Královské Vinohrady
- PRINCIPAL INVESTIGATOR
Michaela Zapletalová, Mgr.
Univerzita Palackého, Fakultní nemocnice Královské Vinohrady
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator Marie Kompasova
Study Record Dates
First Submitted
December 16, 2025
First Posted
April 30, 2026
Study Start
September 1, 2023
Primary Completion
December 31, 2025
Study Completion (Estimated)
August 31, 2026
Last Updated
April 30, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share