# 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** · NA · UNKNOWN · sponsor: **Elsan** · enrollment: 1500 (estimated)

## Conditions studied

- Artificial Intelligence
- Bone Fracture

## Interventions

- **DEVICE:** Artificial intelligence
- **PROCEDURE:** Emergency physician

## Key facts

- **NCT ID:** NCT06051682
- **Lead sponsor:** Elsan
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** UNKNOWN
- **Start date:** 2023-09-11
- **Primary completion:** 2024-09-11
- **Final completion:** 2025-10-11
- **Target enrollment:** 1500 (ESTIMATED)
- **Last updated:** 2023-09-25

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06051682

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06051682, "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.". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT06051682. Licensed CC0.

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