This paper is in the following e-collection/theme issue:

Digital Health Reviews (1289) Artificial Intelligence (1371) Reviews (100) Clinical Information and Decision Making (1407) Machine Learning (1465) Obesity (75) Obesity and Nutrition as Public Health Problem (304)

Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40589, first published .
Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies

Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies

Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies

Authors of this article:

Ruopeng An1 Author Orcid Image ;   Jing Shen2 Author Orcid Image ;   Yunyu Xiao3 Author Orcid Image
Article Authors Cited by (18) Tweetations (12) Metrics

Ruopeng An   1 * , MPP, PhD ;   Jing Shen   2 * , PhD ;   Yunyu Xiao   3 , PhD

1 Brown School, Washington University in St. Louis, St. Louis, MO, United States

2 Department of Physical Education, China University of Geosciences, Beijing, China

3 Weill Cornell Medical College, Cornell University, Ithaca, NY, United States

*these authors contributed equally

Corresponding Author:

  • Jing Shen, PhD
  • Department of Physical Education, China University of Geosciences
  • No. 29, Xueyuan Road, Haidian District
  • Beijing, 100083
  • China
  • Phone: 86 010 - 82322397
  • Email: shenjing@cugb.edu.cn