Bibliometric Analysis of Artificial Intelligence in Pediatric Radiology and Medical Imaging: A Focus on Deep Learning Applications.

(2018) with 2886 citations, are predominantly technical feasibility studies rather than clinical outcome trials, indicating a field that has advanced methodologically but remains in early stages of clinical translation.

Eight of the ten most productive affiliations are North American, highlighting structural inequities that risk producing artificial intelligence tools optimized for high-resource settings rather than the global pediatric population.