Clinical Research Directory

Artificial Intelligence Algorithm for the Interpretation of Traumatic Bone Radiographs

Sponsor: Hôpital Universitaire Sahloul

Summary

This diagnostic study aims to compare the performance of an artificial intelligence (AI) algorithm designed to assist in the interpretation of traumatic bone radiographs (all anatomical regions excluding the thorax) with that of human readers, including emergency medicine and family medicine residents as well as senior physicians (one emergency medicine specialist and one orthopedic surgeon). The study follows a paired reader study design: identical anonymized radiographic images are independently interpreted by the AI system and by human readers. The reference standard ("gold standard") will be defined by the consensus reading of the two senior physicians. Inter-observer agreement (kappa statistics) between the AI, residents, and senior reference readings will be estimated, and false negatives and false positives will be analyzed by lesion type and anatomical location.

Official title: Comparative Evaluation of the Performance of an Artificial Intelligence Algorithm for the Interpretation of Traumatic Bone Radiographs

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