Artificial intelligence in precision enteral nutrition management:applications and advances

VernacularTitle:人工智能在肠内营养精准管理中的应用进展
Author: He-Yu CHEN ¹ ; Qin HU ; Ke XU ; Cong WANG ; Yan JIANG
Author Information

1. 四川大学华西医院循证护理研究室/四川大学华西护理学院,四川成都 610041
Keywords: Artificial intelligence; Machine learning; Enteral nutrition; Malnutrition
From: Parenteral & Enteral Nutrition 2025;32(3):179-183
CountryChina
Language:Chinese
Abstract: Malnutrition significantly impacts patient outcomes and prognosis.Enteral nutrition(EN)serves as a critical nutritional support strategy for hospitalized patients,particularly those who are critically ill,by effectively addressing malnutrition.However,nutritional requirements vary substantially based on disease state and individual characteristics.Artificial intelligence(AI)enables precision EN management through its advanced data processing and predictive analytics capabilities.This review examines current applications of AI in precision EN delivery,identifies existing challenges,and proposes solutions.We aim to inform future research directions and facilitate AI integration into clinical EN practice,ultimately optimizing patient-centered nutritional care.