AI for Post-Op Shoulder Arthroplasty X-rays: Implant Identification Nears Clinical Use; Complication Detection Still Exploratory

AI tools for postoperative radiographs after reverse total shoulder arthroplasty are most clinically ready for implant identification and automated glenosphere orientation measurement. Detection of scapular notching, loosening, and stress fractures remains exploratory. The key b…

• Implant identification and automated glenosphere orientation measurement have demonstrated reproducible accuracy and are closest to clinical adoption.
• AI-based detection of scapular notching progression, component loosening, baseplate migration, and stress reactions remains exploratory with limited shoulder-specific validation.
• The principal obstacle to clinical translation is the scarcity of high-quality, longitudinally annotated RTSA radiograph datasets, not algorithmic capability.

Automated summary

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