Diagnostic capabilities of large language models in the detection of scaphoid fractures in the emergency department

Current LLMs demonstrate insufficient diagnostic accuracy for independent clinical use in scaphoid fracture detection. Claude 3.5's 57.1% sensitivity indicates that these technologies require substantial improvement before clinical deployment. However, their moderate performance in surgical decision-making suggests potential utility as assistive tools when combined with specialist expertise. Further development focusing on musculoskeletal-specific training is essential.