Testing a Home Speech and Memory Check for Early Signs of Dementia
Tests a web-based speech and memory self-check for detecting cognitive problems in adults.
Plain-language title generated from the registry record
Registry title: Telemedicine Self-examination of Speech and Memory for Rapid Detection of Cognitive Impairments Using Machine Learning Methods
Key facts
- Where
- Pilsen and Prague, CzechiaSee the 3 sites
Where in Czechia
- Západočeská univerzita v Plzni / Fakulta aplikovaných vědPilsen, CzechiaNo longer taking part
- Faculty Hospital Kralovske VinohradyPrague, CzechiaNo longer taking part
- Fyzikální ústav AV ČR, v. v. i.Prague, CzechiaNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Faculty Hospital Kralovske Vinohrady
- Trial code
- NCT07558785
- Record updated
- 30 April 2026
- Original description
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.Read full original descriptionShow less
Telemedicine Self-examination of Speech and Memory for Rapid Detection of Cognitive Impairments Using Machine Learning Methods
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.
Inclusion: 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.