Artificial intelligence in diagnosis of pediatric neurodevelopmental disorders: a scoping review

AI technologies may significantly contribute to improving early diagnosis and clinical decision-making in pediatric neurodevelopment. However, variability in study design, population, and algorithm standardization remains a challenge. AI technologies are also facing ethical concerns such as data privacy and security, interpretability, equity and access, and algorithmic bias. Further multicenter validation and regulatory frameworks are essential for clinical translation.