Using artificial intelligence to improve bone fracture diagnosis in emergency departments
Optimization of the Diagnosis of Bone FRACtures in Patients Treated in the Emergency Department by Using Artificial Intelligence for Reading Radiological Images in Comparison With Traditional Reading by the Emergency Doctor.
This study is testing if using artificial intelligence to help read X-rays for suspected bone fractures can lead to better and faster diagnoses in emergency departments compared to just relying on doctors.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 1500 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Elsan Academic / other |
| Locations | 1 site (Agen) |
| Trial ID | NCT06051682 on ClinicalTrials.gov |
What this trial studies
This study compares the effectiveness of artificial intelligence in reading radiological images for suspected bone fractures against traditional interpretations by emergency physicians. Patients with suspected peripheral fractures will be divided into two groups: one receiving AI-assisted readings alongside physician assessments, and the other relying solely on physician interpretations. The goal is to reduce diagnostic errors and improve patient outcomes in emergency settings where timely decisions are critical.
Who should consider this trial
Good fit: Ideal candidates are patients admitted to the emergency department with suspected peripheral fractures in the upper or lower limbs.
Not a fit: Patients with multiple fractures or those who have previously been admitted for suspicion of fractures may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly reduce diagnostic errors and improve the accuracy of bone fracture diagnoses in emergency departments.
How similar studies have performed: While the use of AI in medical imaging is gaining traction, this specific comparative approach in emergency fracture diagnosis is relatively novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Major Subject * Patient admitted to the emergency department for suspected peripheral fractures in the extremities of the upper limb and/or lower limb (wrist/hand and ankle/foot). * Patient affiliated to or entitled to a social security system * Patient having received written and informed information about the study and having signed a free and informed consent to participate in the study. Exclusion Criteria: * Patient previously admitted to the emergency room for suspicion of fractures and not included in the study * Patient admitted to the emergency room with suspicion of multiple fractures * Refusal to participate in the study * Protected patient: adult under guardianship, curatorship or other legal protection, deprived of liberty by judicial or administrative decision and under judicial protection * Pregnant, breastfeeding or parturient patient
Where this trial is running
Agen
- Clinique Esquirol Saint Hilaire — Agen, France (Recruiting)
Study contacts
- Study coordinator: Martial MATINGOU, Dr
- Email: martial.matingou@orange.fr
- Phone: 0662653598
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.