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. (FracturIA)
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.
As part of the management of a patient with suspected bone fractures, emergency physicians are required to make treatment decisions before obtaining the imaging reading report from the radiologist, who is generally not available only a few hours after the patient's admission, or even the following day. This situation of the emergency doctor, alone interpreting the radiological image, in a context of limited time due to the large flow of patients to be treated, leads to a significant risk of interpretation error. Unrecognized fractures represent one of the main causes of diagnostic errors in emergency departments.
This comparative study consists of two cohorts of patients referred to the emergency department for suspected bone fracture. The first will be of interest to patients whose radiological images will be interpreted by the reading of the emergency doctor systematically doubled by the reading of the artificial intelligence. The other will interest a group of patients cared for by the simple reading of the emergency doctor.
All of the images from both groups of patients will be re-read by the establishment's group of radiologists no later than 24 hours following the patient's treatment.
A centralized review will be provided by two expert radiologists. Also, patients in both groups will be systematically recalled in the event of detection of an unknown fracture for hospitalization.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Martial MATINGOU, Dr
- Phone Number: 0662653598
- Email: martial.matingou@orange.fr
Study Locations
-
-
-
Agen, France, 47000
- Recruiting
- Clinique Esquirol Saint Hilaire
-
Contact:
- Martial MATINGOU, MD
- Phone Number: 0662653598
- Email: martial.matingou@orange.fr
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Patient with emergency physician and AI for diagnosis
Patient benefiting from imaging submitted to radiological reading by the emergency physician and the AI for diagnosis and treatment decision
|
Artificial intelligence software : Boneview.
It analyzes the x-rays, gives an assessment of the presence of fractures at the examination level and locates the fractures on each image by presenting them to the practitioner directly on their screen, without any other logistical constraints for the doctor.
the emergency physician analyzes the x-rays
|
|
Placebo Comparator: Patient with emergency physician only for diagnosis
|
the emergency physician analyzes the x-rays
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Patient readmission rate for failure to diagnose fracture during initial treatment.
Time Frame: 1 day
|
This rate will be determined in each group (reading by the emergency doctor systematically doubled by the reading of the AI vs. simple reading by the emergency doctor) compared to centralized rereading.
|
1 day
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2023-A00639-36
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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