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

Formative Evaluation of Digital Health Interventions (2226) Mobile Health (mhealth) (2777) New Methods (911) Instruments and Questionnaires for Nutrition and Food Intake (159) mHealth for Wellness, Behavior Change and Prevention (2754)

Published on in Vol 4, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15602, first published .
Use of Different Food Image Recognition Platforms in Dietary Assessment: Comparison Study

Use of Different Food Image Recognition Platforms in Dietary Assessment: Comparison Study

Use of Different Food Image Recognition Platforms in Dietary Assessment: Comparison Study

Authors of this article:

Stephanie Van Asbroeck1 Author Orcid Image ;   Christophe Matthys1 Author Orcid Image
Article Authors Cited by (19) Tweetations (9) Metrics

Journals

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  7. Moshfegh A, Rhodes D, Martin C. National Food Intake Assessment: Technologies to Advance Traditional Methods. Annual Review of Nutrition 2022;42(1):401 View
  8. Chen X, Johnson E, Kulkarni A, Ding C, Ranelli N, Chen Y, Xu R. An Exploratory Approach to Deriving Nutrition Information of Restaurant Food from Crowdsourced Food Images: Case of Hartford. Nutrients 2021;13(11):4132 View
  9. Moyen A, Rappaport A, Fleurent-Grégoire C, Tessier A, Brazeau A, Chevalier S. Relative Validation of an Artificial Intelligence–Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study. Journal of Medical Internet Research 2022;24(11):e40449 View
  10. Hicks J, Boswell M, Althoff T, Crum A, Ku J, Landay J, Moya P, Murnane E, Snyder M, King A, Delp S. Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective. Annual Review of Public Health 2023;44(1):131 View
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  12. Lozano C, Canty E, Saha S, Broyles S, Beyl R, Apolzan J, Martin C. Validity of an Artificial Intelligence-Based Application to Identify Foods and Estimate Energy Intake Among Adults: A Pilot Study. Current Developments in Nutrition 2023;7(11):102009 View
  13. Zhang S, Callaghan V, Che Y. Image-based methods for dietary assessment: a survey. Journal of Food Measurement and Characterization 2024;18(1):727 View
  14. El Sherbini A, Rosenson R, Al Rifai M, Virk H, Wang Z, Virani S, Glicksberg B, Lavie C, Krittanawong C. Artificial intelligence in preventive cardiology. Progress in Cardiovascular Diseases 2024 View
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Books/Policy Documents

  1. Hamilton S, Richards T, Roe B. . View