Most artificial intelligence tools for fracture detection on children have focussed on plain radiographic assessment.
Almost all eligible articles used training, validation and test datasets derived from a single institution.
Strict inclusion and exclusion criteria for algorithm development may limit the generalisability of AI tools in children.
AI performance was marginally higher than human readers, but not significantly significant.
Opportunities exist for developing AI tools for very young children (< 2 years old), those with inherited bone disorders and in certain clinical scenarios (e.g. suspected physical abuse). Shelmerdine, S.C., White, R.D., Liu, H. et al. Artificial intelligence for radiological paediatric fracture assessment: a systematic review. Insights Imaging 13, 94 (2022). https://doi.org/10.1186/s13244-022-01234-3