Hallein

Researchers are evaluating whether artificial intelligence (AI) can help doctors detect broken bones, joint effusions, dislocations, and bone lesions more quickly and accurately in emergency rooms. This clinical trial aims to assess if AI can improve diagnostic accuracy, speed up diagnosis, and reduce healthcare costs in orthopedic emergency care. The study is designed as a prospective, randomized, controlled international trial comparing traditional diagnosis methods to AI-assisted diagnosis. Participants will be randomly assigned to two groups: one will receive standard X-ray diagnosis by physicians without AI assistance, and the other will have AI tools (Aidoc or Gleamer BoneView) integrated into the hospital's imaging system to assist doctors in interpreting X-rays in real time. The AI highlights possible problem areas on images, but final diagnosis decisions remain with the physicians. Both groups follow the same imaging protocols involving standard X-rays of injured arms or legs. During the study, participants will undergo routine X-ray imaging and have their images reviewed with or without AI support depending on their group. Researchers will collect baseline data, record diagnostic results, and measure outcomes such as diagnostic accuracy, time to diagnosis, costs, and physician confidence levels. An expert panel will independently review diagnoses to provide a reference standard. The study includes patients of all ages with single isolated injuries or joint complaints, with no extra tests or treatments beyond standard care. Written informed consent is required, and participant confidentiality will be maintained.