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· Artificial intelligence (AI) holds transformative potential for pediatric healthcare, with applications spanning prevention, diagnosis, treatment, and follow-up across diverse subspecialties; however, ethical concerns, scarcity of pediatric- specific data, and limited funding remain significant challenges.
· International consensus on pediatric AI guidelines, expanding child-specific datasets, and incorporating explainable AI are essential to ensure safety and trust.
· Multicenter collaboration and increased investment can address these gaps, enabling equitable, reliable, and pediatric- centered AI solutions. |