Diagnostic Performance of a Generative Artificial Intelligence Model in Pelvic Ring and Acetabular Fractures: A Reliability and Validity Study

Aim

The objective of this study was to evaluate the effectiveness, accuracy, and consistency of an AI-powered chatbot (ChatGPT 4.0) in supporting clinical and radiological suspicions in the preliminary diagnosis of pelvic ring and acetabular fractures in situations where expert consultation or tertiary healthcare resources are unavailable. Material and Methods: A total of 100 antero-posterior (AP) pelvis X-ray images, 88 exhibiting pelvic or peri-acetabular fractures or instability, and all free from copyright restrictions, were presented to ChatGPT 4.0. In a scenario posing as a medical practitioner without any specialization, currently working in an emergency department in a rural hospital, and without any trauma or radiology specialist capable of evaluating the radiographic images, ChatGPT was asked to diagnose all x-rays, and then asked to confirm the diagnosis.