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

Journals

  1. Bays H, Fitch A, Cuda S, Gonsahn-Bollie S, Rickey E, Hablutzel J, Coy R, Censani M. Artificial intelligence and obesity management: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2023. Obesity Pillars 2023;6:100065 View
  2. An R, Ji M. Building Machine Learning Models to Correct Self-Reported Anthropometric Measures. Journal of Public Health Management and Practice 2023;29(5):671 View
  3. Aiosa G, Palesi M, Sapuppo F. EXplainable AI for Decision Support to Obesity Comorbidities Diagnosis. IEEE Access 2023;11:107767 View
  4. An R, Batcheller Q, Wang J, Yang Y. Build neural network models to identify and correct news headlines exaggerating obesity-related scientific findings. Journal of Data and Information Science 2023;8(3):88 View
  5. Knights V, Kolak M, Markovikj G, Kljusurić J. Modeling and Optimization with Artificial Intelligence in Nutrition. Applied Sciences 2023;13(13):7835 View
  6. Visco V, Izzo C, Bonadies D, Di Feo F, Caliendo G, Loria F, Mancusi C, Chivasso P, Di Pietro P, Virtuoso N, Carrizzo A, Vecchione C, Ciccarelli M. Interventions to Address Cardiovascular Risk in Obese Patients: Many Hands Make Light Work. Journal of Cardiovascular Development and Disease 2023;10(8):327 View
  7. Lippi L, de Sire A, Folli A, Turco A, Moalli S, Marcasciano M, Ammendolia A, Invernizzi M. Obesity and Cancer Rehabilitation for Functional Recovery and Quality of Life in Breast Cancer Survivors: A Comprehensive Review. Cancers 2024;16(3):521 View
  8. Trinkley K, An R, Maw A, Glasgow R, Brownson R. Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions. Implementation Science 2024;19(1) View
  9. Nashwan A, Abdi Hassan M, AlBarakat M. Rethinking BMI and Obesity Management: The Transformative Role of Artificial Intelligence. Cureus 2024 View
  10. Huang J, Guo P, Zhang S, Ji M, An R. Use of Deep Neural Networks to Predict Obesity With Short Audio Recordings: Development and Usability Study. JMIR AI 2024;3:e54885 View
  11. Danilov S, Matveev G, Babenko A, Shlyakhto E. Model for Predicting the Effect of Sibutramine Therapy in Obesity. Journal of Personalized Medicine 2024;14(8):811 View
  12. Nashruddin S, Salleh F, Yunus R, Zaman H. Artificial intelligence−powered electrochemical sensor: Recent advances, challenges, and prospects. Heliyon 2024;10(18):e37964 View
  13. Ramos-Jiménez A, Hernández Lepe M, Hernández-Torres R, Murguía-Romero M. Heuristic evaluation of body mass index with bioimpedance data in the Mexican population. Nutrición Hospitalaria 2024 View
  14. Gong X, Bai S, Lei E, Lin L, Chen Y, Liu J. Study of obesity research using machine learning methods: A bibliometric and visualization analysis from 2004 to 2023. Medicine 2024;103(36):e39610 View
  15. Kim D, Park C, Shin J, Lee H. The Role of Artificial Intelligence in Obesity Medicine. Endocrinology and Metabolism Clinics of North America 2024 View

Books/Policy Documents

  1. Htet A, Liana S, Aung T, Bhaumik A. Advanced Applications of Generative AI and Natural Language Processing Models. View