Status:
RECRUITING
MIDI (MR Imaging Abnormality Deep Learning Identification)
Lead Sponsor:
King's College Hospital NHS Trust
Collaborating Sponsors:
King's College London
Conditions:
Neurological Disorder
Eligibility:
All Genders
18+ years
Brief Summary
The study involves the development and testing of an artificial intelligence (AI) tool that can identify abnormalities using patient head scans conducted for routine clinical care and research volunte...
Detailed Description
An automated strategy for identifying abnormalities in head scans could address the unmet clinical need for faster abnormality identification times, potentially allowing for early intervention to impr...
Eligibility Criteria
Inclusion
- All head MRI scans with compatible sequences
- \> 18 years old
Exclusion
- No corresponding radiologist report
- No consent for future use of the research images held within the historic database stored at The Centre for Neuroimaging Sciences (Kings College London).
- Poor image quality
Key Trial Info
Start Date :
April 1 2019
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
March 31 2025
Estimated Enrollment :
30000 Patients enrolled
Trial Details
Trial ID
NCT04368481
Start Date
April 1 2019
End Date
March 31 2025
Last Update
April 10 2024
Active Locations (33)
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1
Princess Royal University Hospital, King's College Hospital NHS Foundation Trust
Orpington, Kent, United Kingdom
2
Buckinghamshire Healthcare Nhs Trust (Stoke Mandeville)
Aylesbury, United Kingdom
3
Mid and South Essex NHS Foundation Trust
Basildon, United Kingdom
4
Bedfordshire Hospitals Nhs Foundation Trust
Bedford, United Kingdom