Telemedicine Self-examination of Speech and Memory for Rapid Detection of Cognitive Impairments Using Machine Learning Methods
Condition(s) studied
Investigational drug(s) / intervention(s)
The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): A brief individually administered battery to measure cognitive decline or improvement across five domains in ages 12 to 89 years 11 months.
the Mississippi Aphasia Screening Test: he Mississippi Aphasia Screening Test (MAST) was developed as a brief, repeatable screening measure for individuals with severely impaired communication/language skills.
Amnesia Light and Brief Assessment (ALBA): Very brief test used to measure deficits of more cognitive functions (short-term, episodic, semantic amnesia, sensory and motor aphasia, apraxia, psychomotor speed).
The Picture naming and immediate recall test (PICNIR): Very brief test used to measure deficits of more cognitive functions (short-term, episodic, semantic amnesia, sensory and motor aphasia, apraxia, psychomotor speed).
Geriatric Depression Scale (GDS-15): 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.
The Beck Anxiety Inventory (BAI): A formative assessment and rating scale of anxiety.
Digitial Diagnostics of Dementia (DDD): Our experimental screening battery developed for this study.
Study 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.
Eligibility
Primary outcome measure(s)
- 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
Trial sites (3)
| Facility | City | Region | Status |
|---|---|---|---|
| Západočeská univerzita v Plzni / Fakulta aplikovaných věd | Pilsen | Czechia | |
| Faculty Hospital Kralovske Vinohrady | Prague | Czechia | |
| Fyzikální ústav AV ČR, v. v. i. | Prague | Czechia |
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This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07558785 on ClinicalTrials.gov ↗ ← All trials in Czechia