Detecting Laterality Errors in Combined Radiographic Studies by Enhancing the Traditional Approach With GPT-4o: Algorithm Development and Multisite Internal Validation

The combined radiographic report format poses distinct challenges for both radiology report quality assurance and natural language processing. The combined rule-based and GPT-4o method effectively screens for laterality errors in imbalanced real-world reports. A significant performance gap exists between balanced synthetic datasets and imbalanced real-world data. Future studies should also include real-world imbalanced data.