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Reasons for a differing impact of artificial intelligence on pediatric neuroradiology compared with adult neuroradiology


  • Lower number of pediatric neuroradiologists


  • High degree of subspecialization


  • Rapid evolution of the field with an evolving understanding of the molecular and genetic underpinnings of disorders


  • Wide spectrum of neurologic disorders in the pediatric age range


  • Differing neuroimaging manifestations of disorders depending on age


  • Small sample sizes of rare neuropediatric disorders, especially when considering subcategories/molecular subtypes


  • More rare and orphan diseases in the pediatric age range


  • Rapid evolution of targeted therapeutic approaches for precision child health