Assessing deep learning artificial intelligence support for detecting elbow fractures in the pediatric emergency department

Elbow fractures are among the most common pediatric injuries, accounting for 15–20 % of all fractures in children [1,2]. Diagnosing these fractures can be particularly challenging due to the complex radiographic appearance of the developing elbow, which features multiple ossification centers that emerge at different stages [3,4]. As a result, identifying fractures often requires recognizing indirect signs, such as the fat pad sign, which suggests joint effusion [5–7]. Accurate diagnosis is criti…

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