数智化技术在肠内外营养支持中应用的研究现状

Research Status of Application of Digital Intelligence Technology in Enteral and Parenteral Nutrition Support

关键词:  数智化技术  肠内外营养  营养管理  机器学习  风险预测模型

Key words:  digital intelligence technology  enteral and parenteral nutrition  nutrition management  machine learning  risk prediction model

摘要:

目的：总结数智化技术在肠内外营养支持中的应用现状，为肠内外营养制剂的研发、生产与质控，营养评估与诊断，营养决策支持，营养干预与精准营养，以及喂养不耐受风险的预测提供参考。方法：检索PubMed、Web of Science、中国知网、万方、维普数据库，筛选并分析数智化技术在肠内外营养支持中的应用情况，提取相关数据进行综述研究。结果：数智化技术作为一种全新的技术手段，可赋能肠内外营养制剂研发的全过程，精准指导营养摄入评估和营养决策支持，预测识别喂养不耐受风险，并助力实现个性化健康管理，有效降低肠内外营养支持并发症风险的发生率。结论：数智化技术在肠内外营养制剂的开发、生产与质量控制，营养状态评估与干预，以及喂养不耐受风险预测等方面将发挥至关重要的作用，促进智慧医疗和精准医学的发展，同时探讨了数智化技术推广应用于肠内外营养支持领域的主要挑战及未来发展趋势。

Abstract:

ABSTRACT: OBJECTIVE: To summarize the research status of the application of digital intelligence technology in enteral and parenteral nutrition support, and provide references for the research and development, production and quality control of enteral and parenteral nutrition preparations, nutrition evaluation and diagnosis, nutrition decision support, nutrition intervention and precision nutrition, as well as the prediction of the occurrence of feeding intolerance risk. METHODS: PubMed, web of science, CNKI, Wanfang and VIP databases were searched, and the application of digital intelligence technology in enteral and parenteral nutrition support was screened and analyzed, and the relevant data were extracted for review. RESULTS: Digital intelligence technology, as a new technological tool, can empower the entire process of enteral and parenteral nutrition formulation research and development, provide accurate guidance for nutritional intake assessment and nutritional decision support, predict and identify feeding intolerance risks, and help achieve personalized health management, effectively reducing the incidence of complications associated with enteral and parenteral nutrition support. CONCLUSION: Digital intelligence technology will play a vital role in the development, production and quality control of enteral and parenteral nutrition preparations, nutritional status assessment and intervention, and feeding intolerance risk prediction, and promote the development of smart medicine and precision medicine. At the same time, the main challenges and future development trends of the application of digital intelligence technology in the field of enteral and parenteral nutrition support are discussed.