The State of the Science on Artificial Intelligence-Based Dietary Assessment Methods That Use Digital Images: A Scoping Review

OBJECTIVES: Human error when estimating food intake is a major source of bias in nutrition research. This study provides an overview of literature on the accuracy of artificial intelligence (AI) methods used to analyze digital images of food compared to human coders and ground truth. METHODS: This s...

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Detalles Bibliográficos
Autores principales: Shonkoff, Eleanor, Cara, Kelly Copeland, Pei, Xuechen (Anna), Chung, Mei, Kamath, Shreyas, Panetta, Karen, Hennessy, Erin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Food Science and Nutrition
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194158/
http://dx.doi.org/10.1093/cdn/nzac077.037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194158/
http://dx.doi.org/10.1093/cdn/nzac077.037

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