Innovative applications and research advances of artificial intelligence in breastfeeding
10.3760/cma.j.cn113903-20250331-00155
- VernacularTitle:人工智能在母乳喂养中的创新应用及研究进展
- Author:
Ying YUAN
1
;
Linghan TANG
;
Lirong GUAN
Author Information
1. 成都中医药大学附属医院新生儿科，成都 610000
- Publication Type:Journal Article
- Keywords:
Breastfeeding;
Artificial intelligence;
Machine learning;
Infant nutritional physiological phenomena;
Telemedicine
- From:
Chinese Journal of Perinatal Medicine
2025;28(7):589-592
- CountryChina
- Language:Chinese
-
Abstract:
Breastfeeding is essential for the healthy growth and development of infants. The ongoing advancements in technology, such as the emergence of artificial intelligence (AI), have introduced innovative opportunities to support and optimize breastfeeding practices. This review systematically analyzes the progression of AI applications in this field, including intelligent educational platforms, monitoring feeding behavior, analysis of breast milk composition, and clinical decision support systems. Studies demonstrate that machine learning-based technologies can significantly enhance the accuracy of feeding assessments and provide more personalized guidance for caregivers. These innovations not only improve traditional evaluation methods but also pioneer a novel model of precision feeding management. This review highlights the potential of AI in improving breastfeeding quality while addressing challenges in technological implementation, providing critical insights for future research and clinical translation.
