Using AI to detect fractures in emergency departments
Boneview-ED - Impact of Artificial Intelligence Detecting Fractures in the Emergence Department : a Pragmatic Prospective Study
This study tests if using AI software can help emergency doctors better spot fractures in patients after they've had an injury, without needing extra X-rays.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 1600 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University Hospital, Angers Government |
| Locations | 1 site (Angers, Maine Et Loire) |
| Trial ID | NCT06013852 on ClinicalTrials.gov |
What this trial studies
This study evaluates the effectiveness of the 'Boneview' artificial intelligence software in assisting emergency physicians with the diagnosis of fractures in patients who have experienced trauma. After standard X-rays are taken, emergency physicians will first interpret the images independently before using the AI software to reassess the findings. The study aims to determine if AI can improve diagnostic accuracy and patient management without requiring additional imaging. The results will be compared against readings by specialized radiologists to assess the AI's performance in a real-world emergency setting.
Who should consider this trial
Good fit: Ideal candidates include adults who have been admitted to the emergency department with trauma-related injuries within the last 48 hours and require X-rays of their limbs or pelvis.
Not a fit: Patients who are polytraumatized or require imaging of areas not covered by the study, such as the spine or skull, may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could enhance the accuracy of fracture detection, leading to better patient outcomes and more efficient emergency care.
How similar studies have performed: Previous studies have shown promising results for AI in fracture detection, but this study is among the first to evaluate its effectiveness in a prospective emergency department setting.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Major patient * Admitted to the emergency department after trauma less than 48 hours * Patient with an indication on an x-ray of the limbs or/and pelvis * Express patient consent * Affiliated patient or social security beneficiary Exclusion Criteria: * Polytraumatized patient * X-ray of the corso-lumbar spine, skull, cervical spine (all parts of the body not affected by the intended use of the software) * Pregnant, lactating or parturient patient
Where this trial is running
Angers, Maine Et Loire
- Dr Damien COMBES — Angers, Maine Et Loire, France (Recruiting)
Study contacts
- Principal investigator: Damien Combes, Dr — University hospital of Angers
- Study coordinator: Damien Combes, Dr
- Email: damien.combe@chu-angers.fr
- Phone: (0)2 41 35 42 81
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.