
Deep learning in diagnostic imaging of spondyloarthropathies
Our recent systematic review observed that deep learning models for spondyloarthropathies (SpA) hold remarkable promise—not just for identifying subtle radiographic or MRI findings, but also for harnessing massive datasets to detect early, even preclinical, disease features. These techniques can parse millions of pixel-level patterns, potentially flagging nuanced changes that may precede clinical symptoms. Such a capability could fundamentally shift SpA