Using AI to detect fractures in emergency care
Evaluating the Cost-Efficiency and Workflow Impact of AI-Supported Fracture Detection in an Orthopedic Emergency Care Unit
This study tests if using artificial intelligence can help doctors find fractures faster and more accurately in emergency rooms compared to regular methods.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 4800 (estimated) |
| Sex | All |
| Sponsor | Salzburger Landeskliniken Academic / other |
| Locations | 3 sites (Hallein and 2 other locations) |
| Trial ID | NCT06754137 on ClinicalTrials.gov |
What this trial studies
This clinical trial evaluates the effectiveness of artificial intelligence (AI) in assisting doctors with the detection of fractures in emergency room settings. It compares two groups of patients: one receiving standard diagnostic procedures and the other utilizing AI technology to interpret X-ray images. The study aims to determine if AI can improve diagnostic accuracy, expedite the diagnosis process, and reduce healthcare costs. By analyzing the impact of AI on clinical workflows and decision-making, the trial seeks to provide insights into the practical benefits of integrating AI into emergency care.
Who should consider this trial
Good fit: Ideal candidates are patients of all ages presenting to the emergency department with a suspected isolated fracture.
Not a fit: Patients with polytrauma or those unable to provide informed consent may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to faster and more accurate fracture diagnoses, improving patient outcomes and reducing healthcare costs.
How similar studies have performed: Other studies have shown promise in using AI for diagnostic purposes, suggesting potential success for this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Presenting to the emergency department with an isolated injury or joint complaint * Patients able and willing to provide informed consent. Exclusion Criteria: * 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 this trial is running
Hallein and 2 other locations
- Landesklinik Hallein, Salzburger Landeskliniken — Hallein, Austria (Not_yet_recruiting)
- University Hospital Salzburg, Salzburger Landeskliniken — Salzburg, Austria (Recruiting)
- University Hosptial Nuremberg, Klinikum Nürnberg — Nuremberg, Germany (Recruiting)
Study contacts
- Study coordinator: Martin Breitwieser, MD, MBA, BSc
- Email: m.breitwieser@salk.at
- Phone: +43 5 7255
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.