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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.

NCT06051682 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1500

Last updated 2023-09-25

No results posted yet for this study

Summary

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.

Conditions

  • Artificial Intelligence
  • Bone Fracture

Interventions

DEVICE

Artificial intelligence

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.

PROCEDURE

Emergency physician

the emergency physician analyzes the x-rays

Sponsors & Collaborators

  • Clinique Esquirol Saint Hilaire

    collaborator UNKNOWN

  • Elsan

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-09-11
Primary Completion
2024-09-11
Completion
2025-10-11

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06051682 on ClinicalTrials.gov