Kassem Hanin, Beevi Aneesha Abida, Basheer Sondos, Lutfi Gadeer, Cheikh Ismail Leila, Papandreou Dimitrios
Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates.
Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford OX1 2JD, UK.
Nutrients. 2025 Jan 5;17(1):190. doi: 10.3390/nu17010190.
Artificial Intelligence (AI) technologies are now essential as the agenda of nutrition research expands its scope to look at the intricate connection between food and health in both an individual and a community context. AI also helps in tracing and offering solutions in dietary assessment, personalized and clinical nutrition, as well as disease prediction and management, such as cardiovascular diseases, diabetes, cancer, and obesity. This review aims to investigate and assess the different applications and roles of AI in nutrition and research and understand its potential future impact.
We used PubMed, Scopus, Web of Science, Google Scholar, and EBSCO databases for our search.
Our findings indicate that AI is reshaping the field of nutrition in ways that were previously unimaginable. By enhancing how we assess diets, customize nutrition plans, and manage complex health conditions, AI has become an essential tool. Technologies like machine learning models, wearable devices, and chatbot applications are revolutionizing the accuracy of dietary tracking, making it easier than ever to provide tailored solutions for individuals and communities. These innovations are proving invaluable in combating diet-related illnesses and encouraging healthier eating habits. One breakthrough has been in dietary assessment, where AI has significantly reduced errors that are common in traditional methods. Tools that use visual recognition, deep learning, and mobile applications have made it possible to analyze the nutrient content of meals with incredible precision.
Moving forward, collaboration between tech developers, healthcare professionals, policymakers, and researchers will be essential. By focusing on high-quality data, addressing ethical challenges, and keeping user needs at the forefront, AI can truly revolutionize nutrition science. The potential is enormous. AI is set to make healthcare not only more effective and personalized but also more equitable and accessible for everyone.
随着营养研究议程将范围扩大到在个体和社区背景下审视食物与健康之间的复杂联系,人工智能(AI)技术如今至关重要。人工智能还有助于在膳食评估、个性化和临床营养以及疾病预测与管理(如心血管疾病、糖尿病、癌症和肥胖症)方面进行追踪并提供解决方案。本综述旨在调查和评估人工智能在营养与研究中的不同应用和作用,并了解其未来潜在影响。
我们使用了PubMed、Scopus、Web of Science、谷歌学术和EBSCO数据库进行检索。
我们的研究结果表明,人工智能正在以前所未有的方式重塑营养领域。通过改进我们评估饮食、定制营养计划和管理复杂健康状况的方式,人工智能已成为一项必不可少的工具。机器学习模型、可穿戴设备和聊天机器人应用等技术正在彻底改变膳食追踪的准确性,使得为个人和社区提供量身定制的解决方案比以往任何时候都更容易。这些创新在对抗与饮食相关的疾病和鼓励更健康的饮食习惯方面证明具有不可估量的价值。一个突破在于膳食评估,人工智能在这方面显著减少了传统方法中常见的误差。使用视觉识别、深度学习和移动应用的工具使得能够极其精确地分析膳食的营养成分。
展望未来,技术开发者、医疗保健专业人员、政策制定者和研究人员之间的合作将至关重要。通过专注于高质量数据、应对伦理挑战并将用户需求放在首位,人工智能能够真正彻底改变营养科学。潜力巨大。人工智能不仅将使医疗保健更有效、更个性化,而且将使其对每个人来说更公平、更容易获得。