Automated detection of spinal bone marrow oedema in axial spondyloarthritis: training and validation using two large phase 3 trial datasets.
Objective To evaluate the performance of machine learning (ML) models for the automated scoring of spinal MRI bone marrow oedema (BMO) in patients with axial spondyloarthritis (axSpA) and compare them with expert scoring. Methods ML algorithms using SpineNet software were trained and validated on 34...
| Published in: | Rheumatology Vol. 64; no. 10; pp. 5446 - 5455 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
Oct2025
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| Online Access: | View this record in EBSCOhost |