Abstract:
Artificial intelligence (AI) refers to computer systems doing tasks that usually need human intelligence. AI is constantly changing and is revolutionizing the healthcare field, including nutrition. This review\'s purpose is four-fold: (i) to investigate AI\'s role in nutrition research; (ii) to identify areas in nutrition using AI; (iii) to understand AI\'s future potential impact; (iv) to investigate possible concerns about AI\'s use in nutrition research. Eight databases were searched: PubMed, Web of Science, EBSCO, Agricola, Scopus, IEEE Explore, Google Scholar and Cochrane. A total of 1737 articles were retrieved, of which 22 were included in the review. Article screening phases included duplicates elimination, title-abstract selection, full-text review, and quality assessment. The key findings indicated AI\'s role in nutrition is at a developmental stage, focusing mainly on dietary assessment and less on malnutrition prediction, lifestyle interventions, and diet-related diseases comprehension. Clinical research is needed to determine AI\'s intervention efficacy. The ethics of AI use, a main concern, remains unresolved and needs to be considered for collateral damage prevention to certain populations. The studies\' heterogeneity in this review limited the focus on specific nutritional areas. Future research should prioritize specialized reviews in nutrition and dieting for a deeper understanding of AI\'s potential in human nutrition.
摘要:
人工智能(AI)是指计算机系统执行通常需要人类智能的任务。人工智能在不断变化,正在彻底改变医疗保健领域,包括营养。这篇综述的目的有四个方面:(i)调查AI在营养研究中的作用;(ii)确定使用AI的营养领域;(iii)了解AI的未来潜在影响;(iv)调查有关AI在营养研究中使用的可能问题。搜索了八个数据库:PubMed,WebofScience,EBSCO,Agricola,Scopus,IEEE探索,谷歌学者和Cochrane。共检索到1737篇文章,其中22人被列入审查范围。文章筛选阶段包括重复消除,标题摘要选择,全文回顾,和质量评估。主要研究结果表明,人工智能在营养中的作用正处于发育阶段,主要关注饮食评估,较少关注营养不良预测,生活方式干预,和饮食相关疾病的理解。需要临床研究来确定AI的干预效果。人工智能使用的伦理,一个主要问题,仍未解决,需要考虑对某些人群进行附带损害预防。这篇综述中的异质性研究限制了对特定营养领域的关注。未来的研究应该优先考虑营养和节食方面的专业评论,以便更深入地了解人工智能在人类营养方面的潜力。