Machine learning in the MRI diagnostics of neurodegenerative diseases
- Conditions
- F00.0F01.2Dementia in Alzheimer disease with early onsetSubcortical vascular dementia
- Registration Number
- DRKS00023078
- Lead Sponsor
- Klinik für Neuroradiologie, Universitätsklinikum Freiburg
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 5000
Inclusion Criteria
Adult patients who have received a cranial MRI with the question of a neurodegenerative disease and a comparative collective of patients who have received a cranial MRI with comparable sequences but non-neurodegenerative question
Exclusion Criteria
Minority. A specific further exclusion of patients is not planned to prevent a falsification of the created algorithms for patient subgroups.
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Development of AI-based algorithms for MRI diagnosis of neurodegenerative diseases
- Secondary Outcome Measures
Name Time Method Comparison of AI-based diagnostics with the accuracy of human findings<br>Correlation of pathological changes of diffusion parameters and parameters of the other above mentioned sequences with the presumed pathogenesis of the disease, especially in comparison with non-neurodegenerative diseases