AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review-Reference-Cited by-同舟云学术

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AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review

Published:2023-12-07 Issue:2 Volume:55 Page:
ISSN:0785-3890
Container-title:Annals of Medicine
language:en
Short-container-title:Annals of Medicine

Author:

Shonkoff Eleanor¹,Cara Kelly Copeland²,Pei Xuechen (Anna)²,Chung Mei²,Kamath Shreyas³,Panetta Karen³,Hennessy Erin²⁴

Affiliation:

1. School of Health Sciences, Merrimack College, North Andover, MA, USA

2. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA

3. School of Engineering, Tufts University, Medford, MA, USA

4. ChildObesity180, Tufts University, Boston, MA, USA

Funder

NIH

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/07853890.2023.2273497

Reference86 articles.

1. The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition

2. Artificial intelligence in nutrition research: perspectives on current and future applications

3. Emerging trends of technology-based dietary assessment: a perspective study

4. Applicability of machine learning techniques in food intake assessment: A systematic review

5. Image-Assisted Dietary Assessment: A Systematic Review of the Evidence

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Evolution of Science and Regulation of Dietary Supplements: Past, Present, and Future;The Journal of Nutrition;2024-08

2. Acurateţea inteligenţei artificiale în analiza imaginilor cu alimente;The Romanian Journal of Nutrition;2024

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