Deep Learning-Based Detection of Femoral Neck Fractures: Superior Diagnostic Performance and Clinical Decision Support Value

The substantial incidence of undetected and incorrectly identified femoral neck fractures (FNF) highlights the need for improved diagnostic support. This work evaluates whether artificial intelligence (AI) can reliably identify FNF and compares its diagnostic capacity with that of physicians. Additionally, it examines how clinicians’ performance changes when assisted by AI. A total of 4477 hip radiographs—2884 showing FNF and 1593 appearing normal—were gathered from eight leading tertiary hospit