Convolutional neural networks in paediatric fracture detection: pooled evidence from a systematic review and meta-analysis

Question What is the diagnostic accuracy of artificial intelligence models for detecting paediatric appendicular fractures on plain radiographs? Findings AI models showed high diagnostic accuracy for paediatric appendicular fractures, with a pooled sensitivity of 0.92, specificity of 0.90, strong HSROC performance, and consistent results across limb subgroups. Clinical relevance AI-assisted fracture detection may improve diagnostic accuracy, support junior clinicians, and reduce delays in identifying paediatric appendicular fractures, enhancing patient safety and enabling faster, more efficient care pathways in emergency and outpatient settings.