健康研究2026，Vol.46Issue(1)：6-13,8.DOI:10.19890/j.cnki.issn1674-6449.2026.01.002
人工智能技术在儿童早期健康发展评估中的应用综述
Applications of artificial intelligence in early childhood health development assessment:a systematic review
摘要
Abstract
Early childhood health development assessment plays a critical role in shaping lifelong capabilities and achieving health equity,but its multidimensional and dynamic nature demands assessment tools that are both precise and adaptable.This systematic review compares the effectiveness of traditional assessment tools and artificial intelligence(AI)—assisted technologies.Traditional tools establish standardized developmental benchmarks but demonstrate limitations including examiner dependency,insufficient cultural adaptability,and inadequate dynamic tracking capabilities.AI—assisted technologies improve assessment objectivity in autism spectrum screening and language disorder prediction through multimodal data fusion and algorithmic optimization,while confronting clinical translation barriers regarding data heterogeneity,model interpretability,and ethical concerns.The development of culturally-adaptive multimodal AI models to establish integrated dynamic monitoring-intervention systems represents a key direction for personalized early childhood health assessment.关键词
儿童早期发展/健康评估/多模态数据/人工智能/机器学习Key words
early childhood development/health assessment/multimodal data/artificial intelligence/machine learning分类
医药卫生引用本文复制引用
向佳新,陈维军,孙晓燕,袁贞明..人工智能技术在儿童早期健康发展评估中的应用综述[J].健康研究,2026,46(1):6-13,8.基金项目
国家卫生健康委员会-浙江省卫健委科研基金(WKJ-ZJ-2215) （WKJ-ZJ-2215）
