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 room settings. This prospective, randomized, controlled trial compares traditional diagnostic methods to AI-assisted X-ray interpretation. The study also aims to see if AI can save time and reduce healthcare costs while improving clinical workflows in orthopedic emergency care. Participants will be assigned to one of two groups one using standard physician interpretation of X-rays without AI assistance, and the other using AI tools Aidoc or Gleamer BoneView integrated into the hospitals imaging system to highlight potential injuries in real time. Both groups will receive standard X-ray imaging of injured arms or legs. The AI serves as a diagnostic aid, with physicians making final diagnoses. The study includes around 4,800 patients presenting with isolated extremity injuries or joint complaints. During the study, participants will undergo routine X-ray imaging and have their images reviewed with or without AI support depending on group assignment. Researchers will collect baseline demographic and clinical data and assess diagnostic accuracy, time to diagnosis, physician confidence, and cost efficiency. Diagnoses will be independently reviewed by experts to ensure accuracy. The study adheres to ethical guidelines and requires informed consent from participants. Results may inform future use of AI in emergency care settings.