Multicenter deep learning for multi-abnormality screening on hip radiographs: development, external validation, and assisted reader study

We developed and externally validated a DL model for automated screening of multiple common hip abnormalities. The system is well-suited for triage workflows by flagging high-risk cases for expedited review. Additionally, it may function as a supportive second reader in high-volume or resource-limited settings.