Clinical Research Directory

AI-Assisted Fracture Detection in Emergency Radiography

Sponsor: Salzburger Landeskliniken

Summary

This study evaluates whether artificial intelligence (AI) can support doctors who interpret X-rays for suspected fractures in emergency care. In the participating hospitals, X-rays are usually interpreted first by the frontline treating physician, while the formal radiology report is generally available later and not before the patient leaves the emergency department. AI may therefore provide an immediate additional assessment while clinical decisions are being made. Patients were randomly assigned to one of two groups. In the AI-assisted group, physicians interpreted the X-rays with support from an AI system. In the control group, physicians interpreted the same type of X-rays without AI support. All final diagnoses and treatment decisions remained with the treating physician. The main question is whether AI assistance affects the time from triage to completion of emergency department treatment. The study also evaluates whether AI influences physician diagnostic confidence, the use of additional imaging, missed fractures, and diagnostic accuracy. The study includes patients aged 2 years or older presenting after trauma with a suspected fracture requiring X-ray imaging. No additional imaging or treatment was required solely because of study participation.

Official title: Artificial Intelligence-Assisted Fracture Detection in Emergency Radiography: A Multicentre Pragmatic Randomised Controlled Trial

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