Automated classification of shoulder radiology focusing on cuff tear arthropathy and glenoid erosion using AI

Our study demonstrates the network's robust capability to identify CTA on plain radiographs, comparable to earlier studies focused on osteoarthritis. Notably, the network excelled in later disease stages characterized by pronounced pathology. The ability to achieve such performance with a heterogeneous dataset bodes well for the real-world implementation of AI technology. However, it is crucial to acknowledge the potential influence of using a validation set instead of a dedicated test set, warranting further investigation.