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Artificial intelligence in food science and nutrition: a narrative review.

Authors :
Miyazawa, Taiki
Hiratsuka, Yoichi
Toda, Masako
Hatakeyama, Nozomu
Ozawa, Hitoshi
Abe, Chizumi
Cheng, Ting-Yu
Matsushima, Yuji
Miyawaki, Yoshifumi
Ashida, Kinya
Iimura, Jun
Tsuda, Tomohiro
Bushita, Hiroto
Tomonobu, Kazuichi
Ohta, Satoshi
Chung, Hsuan
Omae, Yusuke
Yamamoto, Takayuki
Morinaga, Makoto
Ochi, Hiroshi
Source :
Nutrition Reviews. Dec2022, Vol. 80 Issue 12, p2288-2300. 13p.
Publication Year :
2022

Abstract

In the late 2010s, artificial intelligence (AI) technologies became complementary to the research areas of food science and nutrition. This review aims to summarize these technological advances by systematically describing the following: the use of AI in other fields (eg, engineering, pharmacy, and medicine); the history of AI in relation to food science and nutrition; the AI technologies currently used in the agricultural and food industries; and some of the important applications of AI in areas such as immunity-boosting foods, dietary assessment, gut microbiome profile analysis, and toxicity prediction of food ingredients. These applications are likely to be in great demand in the near future. This review can provide a starting point for brainstorming and for generating new AI applications in food science and nutrition that have yet to be imagined. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00296643
Volume :
80
Issue :
12
Database :
Academic Search Index
Journal :
Nutrition Reviews
Publication Type :
Academic Journal
Accession number :
160260450
Full Text :
https://doi.org/10.1093/nutrit/nuac033