Artificial Intelligence in Clinical Nutrition: Bridging Data Analytics and Nutritional Care.

IF 5.5 3区医学 Q1 NUTRITION & DIETETICS

Current Nutrition Reports Pub Date : 2025-07-03 DOI:10.1007/s13668-025-00680-x

Jithinraj Edakkanambeth Varayil, Suzette J Bielinski, Manpreet S Mundi, Sara L Bonnes, Bradley R Salonen, Ryan T Hurt

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引用次数: 0

Abstract

Purpose of review: This review explores how artificial intelligence can help advance clinical nutrition and address nutrition education and practice challenges. It highlights the role of AI, mainly through advanced clinical decision-making using generative AI, in supporting clinicians as they develop personalized nutrition interventions for individual patients. Furthermore, the review discusses how AI technologies are helping to close the knowledge gap in nutrition and delivering real-time, evidence-based insights to healthcare professionals.

Recent findings: AI processes, such as machine learning and natural language processing, have shown promising results in predicting nutritional outcomes and complications, such as malnutrition and central line-associated bloodstream infections. Studies highlight the capability of AI to efficiently process large datasets, identify key risk factors, and provide real-time support to clinicians. Furthermore, AI can personalize educational content, making complex nutritional concepts more accessible. AI has demonstrated multiple potential use cases in nutrition. However, much work still needs to be done to evaluate its accuracy, accessibility and ethical considerations.

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临床营养中的人工智能：连接数据分析和营养护理。

综述目的：本综述探讨了人工智能如何帮助推进临床营养，解决营养教育和实践挑战。它强调了人工智能在支持临床医生为个别患者制定个性化营养干预措施方面的作用，主要是通过使用生成式人工智能进行高级临床决策。此外，该综述还讨论了人工智能技术如何帮助缩小营养方面的知识差距，并向医疗保健专业人员提供实时的、基于证据的见解。最近的发现：人工智能过程，如机器学习和自然语言处理，在预测营养结果和并发症（如营养不良和中央静脉相关的血液感染）方面显示出了有希望的结果。研究强调了人工智能在有效处理大型数据集、识别关键风险因素以及为临床医生提供实时支持方面的能力。此外，人工智能可以个性化教育内容，使复杂的营养概念更容易理解。人工智能已经在营养领域展示了多种潜在用例。然而，还需要做很多工作来评估其准确性、可及性和伦理考虑。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Nutrition Reports Agricultural and Biological Sciences-Food Science

CiteScore

7.70

自引率

2.00%

发文量

期刊介绍： This journal aims to provide comprehensive review articles that emphasize significant developments in nutrition research emerging in recent publications. By presenting clear, insightful, balanced contributions by international experts, the journal intends to discuss the influence of nutrition on major health conditions such as diabetes, cardiovascular disease, cancer, and obesity, as well as the impact of nutrition on genetics, metabolic function, and public health. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas across the field. Section Editors select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. We also provide commentaries from well-known figures in the field, and an Editorial Board of more than 25 internationally diverse members reviews the annual table of contents, suggests topics of special importance to their country/region, and ensures that topics and current and include emerging research.