A Review of Digital Innovations for Diet Monitoring and Precision Nutrition

被引:24
|
作者
Mortazavi, Bobak J. J. [1 ]
Gutierrez-Osuna, Ricardo [1 ,2 ]
机构
[1] Texas A&M Univ, Dept Comp Sci & Engn, College Stn, TX USA
[2] Texas A&M Univ, Dept Comp Sci & Engn, College Stn, TX 77843 USA
来源
关键词
personalized nutrition; diet monitoring; wearable sensors; machine learning;
D O I
10.1177/19322968211041356
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
This article provides an up-to-date review of technological advances in 3 key areas related to diet monitoring and precision nutrition. First, we review developments in mobile applications, with a focus on food photography and artificial intelligence to facilitate the process of diet monitoring. Second, we review advances in 2 types of wearable and handheld sensors that can potentially be used to fully automate certain aspects of diet logging: physical sensors to detect moments of dietary intake, and chemical sensors to estimate the composition of diets and meals. Finally, we review new programs that can generate personalized/precision nutrition recommendations based on measurements of gut microbiota and continuous glucose monitors with artificial intelligence. The article concludes with a discussion of potential pitfalls of some of these technologies.
引用
收藏
页码:217 / 223
页数:7
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