September 17, 2025Frontiers in PediatricsOpen Access

Applications of artificial intelligence in early childhood health management: a systematic review from fetal to pediatric periods

View Full Paper

Ask AI

Bookmark

Authors

QWQingsong WangChina University of Petroleum, Beijing JYJun YinSichuan University XZXiaomeng ZhangShanghai Jiao Tong University

Discussion

Member takes

Implication

This systematic review evaluates AI's diagnostic accuracy and clinical utility in fetal and pediatric care, suggesting improvements for implementation.

Key Points

AI applications showed high diagnostic accuracy in prenatal anomaly detection, enhancing fetal health outcomes.
Of 4,938 records screened, 133 studies were analyzed, indicating effective AI models in neonatal and pediatric care.
Systematic review methodology followed PRISMA guidelines, ensuring rigorous selection and evaluation of literature on AI applications.
The findings highlight challenges like data privacy and algorithmic bias, emphasizing the need for standardized collaboration in AI integration.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68d43c79713b0b5dfea7bd4f https://doi.org/10.3389/fped.2025.1613150

View Full Paper

Ask AI

Bookmark

Implication

This systematic review evaluates AI's diagnostic accuracy and clinical utility in fetal and pediatric care, suggesting improvements for implementation.

Applications of artificial intelligence in early childhood health management: a systematic review from fetal to pediatric periods

Discussion

Member takes

Implication

Key Points

Cite This Study

Applications of artificial intelligence in early childhood health management: a systematic review from fetal to pediatric periods

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider