Telemedicine Self-examination of Speech and Memory for Rapid Detection of Cognitive Impairments Using Machine Learning Methods

Brief summary (registry, in English)

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.

What you commit to

• Study type: Interventional
• Planned participants: 500
• From 1 Sept 2023 to the primary completion date, 31 Dec 2025
• 3 sites in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 40 years to - · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (3)

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