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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
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