Key message• Artificial intelligence (AI) holds transformative potential for pediatric healthcare, with applications spanning pre vention, diagnosis, treatment, and followup across diverse subspecialties; however, ethical concerns, scarcity of pedi atricspecific data, and limited funding remain significant challenges.• International consensus on pediatric AI guidelines, ex panding childspecific datasets, and incorporating ex plainable AI are essential to ensure safety and trust.• Multicenter collaboration and increased investment can address these gaps, enabling equitable, reliable, and pedi atriccentered AI solutions.
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Dong Keon Yon (2025) studied this question.
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