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Artificial intelligence: a new ally for diagnosis in pediatric emergency care
19 mars 2026
By Elodie Vaz | Published on March 19, 2026 | 3 min readElbow injuries are a common reason for consultation in pediatric emergency departments. However, their radiological diagnosis remains challenging. In children, the skeleton is still developing and includes numerous growth plates that are invisible or poorly visible on X-rays. In addition, some fractures can be extremely subtle. In this contex
Elbow injuries are a common reason for consultation in pediatric emergency departments. However, their radiological diagnosis remains challenging. In children, the skeleton is still developing and includes numerous growth plates that are invisible or poorly visible on X-rays. In addition, some fractures can be extremely subtle.
In this context, interpreting elbow radiographs is a real clinical challenge, even for experienced practitioners. A missed fracture can lead to inappropriate management and, ultimately, functional complications. Faced with this diagnostic difficulty, teams from the pediatric emergency department and the radiology department at Nantes University Hospital explored an innovative approach: integrating an artificial intelligence (AI) algorithm as a decision-support tool.
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Scientific reference
Da Costa J, Vrignaud B, Frampas E, Decante C, Meurice L, Levieux K, et al. Assessing deep learning artificial intelligence support for detecting elbow fractures in the pediatric emergency department. Eur J Radiol. 2026;194:112498. doi:10.1016/j.ejrad.2025
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