CT-Referenced Diagnostic Performance and Complementary Error Patterns of Artificial Intelligence Versus a Single Emergency Physician in Chest Radiograph Interpretation: A Retrospective Paired Diagnostic Accuracy Study

Background/Objectives: Artificial intelligence (AI) is increasingly used to support chest radiograph interpretation, but its clinical value depends not only on stand-alone accuracy but also on whether its errors differ from those of clinicians. We evaluated CT-referenced, target-specific diagnostic performance and complementary error patterns of a commercial chest radiograph AI system and a single emergency physician.