NCT lookup
Pull any trial record directly from ClinicalTrials.gov.
Sponsor: Faculty Hospital Kralovske Vinohrady
Conditions: Mild Cognitive Impairment (MCI), Dementia, Mild Cognitive Impairment (MCI) Amnestic, Frontotemporal Degeneration (FTD), Alzheimer Disease (AD)
Interventions: The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), the Mississippi Aphasia Screening Test, Amnesia Light and Brief Assessment (ALBA), The Picture naming and immediate recall test (PICNIR), Geriatric Depression Scale (GDS-15)
Countries: Czechia
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.
Sex: ALL
Age: 40 Years to —
Healthy volunteers: No
Study type: INTERVENTIONAL
Inclusion Criteria for the group of healthy participants: * 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 Inclusion Criteria for the group of patients: \- be diagnosed with mild neurocognitive impairment (MCI) or neurocognitive disorder (dementia) according to the international DSM-5 criteria
- Pilsen, Czechia
- Prague, Czechia
- Prague, Czechia