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A Review of Digital Innovations for Diet Monitoring and Precision Nutrition.

Bobak J MortazaviRicardo Gutierrez-Osuna
Published in: Journal of diabetes science and technology (2021)
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.
Keyphrases
  • artificial intelligence
  • physical activity
  • weight loss
  • machine learning
  • big data
  • deep learning
  • public health
  • low cost
  • risk assessment
  • human health
  • blood glucose
  • metabolic syndrome
  • adipose tissue