Assessing AI-Supported Fracture Detection in Emergency Care Units

Recruiting now · Not applicable

Conditions studied: Fractures, Bone, Effusion Joint, Bone Lesion, Dislocation

In brief

Brief Summary The purpose of this study is to determine if artificial intelligence (AI) can assist doctors in detecting broken bones, effusions, dislocations and bone lesions more quickly and accurately in an emergency room setting. The study will also evaluate whether AI can save time and reduce costs in healthcare. The main questions to be addressed are: * Does AI improve the accuracy of detecting broken bones/dislocations/effusions/bone lesions? * Can AI expedite the process of diagnosing broken bones/dislocations/effusions/bone lesions? * Does AI reduce healthcare costs by enhancing efficiency? To investigate these questions, two groups of patients will be compared. One group will follow the traditional diagnostic approach, while the other group will utilize AI to assist in diagnosing X-rays. Participants in the study will: Undergo standard X-ray imaging of injured arms or legs, as part of routine care. Have X-rays reviewed by doctors with or without AI support, depending on the assigned group. The study will include patients of all ages presenting to the emergency room with an isolated injury or joint complaints. No additional tests or treatments beyond standard care will be involved.

Key facts

Study ID

NCT06754137

Run by

Salzburger Landeskliniken

People needed

4800

Starts

2025-03-31

Expected to finish

2026-04-30

Last updated by the study team

2026-01-22

Who can join

Age: any. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

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

You may not qualify if…

• Patients with injuries or complaints involving multiple body regions
• Patients with prior imaging of the affected extremity or region within the past 6 months
• Contraindications to X-ray imaging (e.g., pregnancy or severe instability)
• Patients with other ongoing studies that may interfere with this study
• Patients unable to provide consent due to cognitive impairment or language barriers without an available representative.

Where it is running

• University Hospital Salzburg, Salzburger Landeskliniken — Salzburg, Austria (enrolling)
• University Hosptial Nuremberg, Klinikum Nürnberg — Nuremberg, Germany (enrolling)
• Landesklinik Hallein, Salzburger Landeskliniken — Hallein, Austria

Full record on ClinicalTrials.gov

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