MIDI (MR Imaging Abnormality Deep Learning Identification)
Deep Learning for Identification of Abnormalities on Head MRI
King's College Hospital NHS Trust
30,000 participants
Apr 1, 2019
OBSERVATIONAL
Conditions
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 volunteer scans. A deep learning algorithm will be developed using a dataset of retrospective and prospective MRI head scans to train, validate, and test convolutional networks using software developed at the Department of Biomedical Engineering, King's College London. The reference standard will be consultant radiologist reports of the MRI head scans.
Eligibility
Inclusion Criteria2
- All head MRI scans with compatible sequences
- > 18 years old
Exclusion Criteria3
- 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
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Locations(33)
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NCT04368481