"Machine learning" in the MRI diagnostics of neurodegenerative diseases

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00023078

Enrollment

5000

Registered

2020-09-16

Start date

2020-10-01

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

F00.0 F01.2

Interventions

Group 1: Retrospective analyses of MR-imaging.

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

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

Exclusion criteria: Minority. A specific further exclusion of patients is not planned to prevent a falsification of the created algorithms for patient subgroups.

Design outcomes

Primary

Measure	Time frame
Development of AI-based algorithms for MRI diagnosis of neurodegenerative diseases	—

Secondary

Measure	Time frame
Comparison of AI-based diagnostics with the accuracy of human findings 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	—

Countries

Germany

Contacts

Public ContactAlexander Rau

Klinik für Neuroradiologie

alexander.rau@uniklinik-freiburg.de076127051750

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026