What is this study trying to find out about fractures and joint injuries?

This study is evaluating whether artificial intelligence (AI) can help doctors detect broken bones, dislocations, effusions, and bone lesions more quickly and accurately in emergency rooms. It also aims to see if AI can save time and reduce healthcare costs by improving diagnostic workflows. The study is sponsored by Salzburger Landeskliniken.

Who may be eligible for this fracture and joint injury clinical trial?

Anyone with an isolated injury or joint complaint presenting to the emergency department may be eligible. Participants must be able and willing to give informed consent and must not have had prior imaging of the affected area within 6 months. This trial is open to all genders and ages. Please review eligibility criteria for more details.

Is there any cost to participate in this fracture detection clinical trial?

Study-related care, including the study procedures and all trial visits, is provided at no cost. However, personal travel expenses may vary and are not guaranteed to be covered by the study.

Actively Recruiting

Phase Not Applicable

All Genders

ID06754137

Evaluating AI Assistance for Faster and More Accurate Detection of Bone Injuries in Emergency Care

Led by Salzburger Landeskliniken · Updated on 2026-01-22

4800

Participants Needed

Research Sites

N/A

Total Duration

AI-Summary

What this Trial Is About

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.

CONDITIONS

Brief Title

Assessing AI-Supported Fracture Detection in Emergency Care Units

Who Can Participate

All Genders

Eligibility Criteria

You may qualify if you...

Presenting to the emergency department with an isolated injury or joint complaint
Patients able and willing to provide informed consent

You will not qualify if you...

Injuries or complaints involving multiple body regions
Prior imaging of the affected extremity or region within the past 6 months
Contraindications to X-ray imaging, such as pregnancy or severe instability
Participation in other ongoing studies that may interfere
Inability to provide consent due to cognitive impairment or language barriers without a representative available

Research Team

Martin Breitwieser, MD, MBA, BSc

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