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

Digital Health Reviews (1551) Artificial Intelligence (1773) Reviews (120) Clinical Information and Decision Making (1686) Machine Learning (1769) Obesity (98) Obesity and Nutrition as Public Health Problem (350)

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 (32) 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 2025;54(1):207 View
  16. Kim S. Trends and Perspectives of mHealth in Obesity Control. Applied Sciences 2024;15(1):74 View
  17. Liu X, Susarla A, Padman R. Promoting Health Literacy With Human-in-the-Loop Video Understandability Classification of YouTube Videos: Development and Evaluation Study. Journal of Medical Internet Research 2025;27:e56080 View
  18. Magan D, Yadav R, Aneja J, Pandey S. Association Between BMI and Neurocognitive Functions Among Middle-aged Obese Adults: Preliminary Findings Using Machine-learning (ML)-based Approach. Annals of Neurosciences 2025 View
  19. Azmi S, Kunnathodi F, Alotaibi H, Alhazzani W, Mustafa M, Ahmad I, Anvarbatcha R, Lytras M, Arafat A. Harnessing Artificial Intelligence in Obesity Research and Management: A Comprehensive Review. Diagnostics 2025;15(3):396 View
  20. Park J, Park S, Lee K, Kwon Y. Predictive and Explainable Artificial Intelligence for Weight Loss After Sleeve Gastrectomy: Insights from Wide and Deep Learning with Medical Image and Non-Image Data. Applied Sciences 2025;15(5):2457 View
  21. Flølo T, Tørris C, Riiser K, Almendingen K, Chew H, Fosså A, Albertini Früh E, Hennessy E, Leung M, Misvær N, Pavel N, Sundar T, Sæterstrand T, Torbjørnsen A, Løyland B, Holmen H. Digital health interventions to treat overweight and obesity in children and adolescents: An umbrella review. Obesity Reviews 2025;26(6) View
  22. Choong C, Xavier N, Falcon B, Kan H, Lipkovich I, Nowak C, Hoyt M, Houle C, Kahan S. Identifying individuals at risk for weight gain using machine learning in electronic medical records from the United States. Diabetes, Obesity and Metabolism 2025;27(6):3061 View
  23. Meder B, Asselbergs F, Ashley E. Artificial intelligence to improve cardiovascular population health. European Heart Journal 2025;46(20):1907 View
  24. Boakye N, O'Toole C, Jalali A, Hannigan A. Comparing logistic regression and machine learning for obesity risk prediction: A systematic review and meta-analysis. International Journal of Medical Informatics 2025;199:105887 View

Books/Policy Documents

  1. Htet A, Liana S, Aung T, Bhaumik A. Advanced Applications of Generative AI and Natural Language Processing Models. View
  2. Viola Lee K, Gandhi B, Tangsrivimol J, Hassan Virk H, ElSherbini A, Wang Z, Glicksberg B, Krittanawong C. The Digital Doctor. View

Conference Proceedings

  1. Aiosa G, Palesi M, Sapuppo F, Xibilia M. 2023 IEEE 19th International Conference on e-Science (e-Science). Explainable AI-Based Clinical Decision Support System for Obesity Comorbidity Analysis View
  2. Vemulapalli G, Yalamati S, Palakurti N, Alam N, Samayamantri S, Whig P. 2024 Asia Pacific Conference on Innovation in Technology (APCIT). Predicting Obesity Trends Using Machine Learning from Big Data Analytics Approach View
  3. Tripathi A, Chauhan N, Sharma A. 4TH INTERNATIONAL CONFERENCE ON INNOVATION IN IOT, ROBOTICS AND AUTOMATION (IIRA 4.0). Obesity classification and prognosis using machine learning View
  4. Sharma S, Aldmour R, Glover W, Kelter M. Global Congress on Emerging Technologies (GCET-2024). Mindful Eating and Impact of Physical Activity on Weight Management using Mobile Application View
  5. V V R M, N S, Kurada R, Devi K, Priya M, Reddy S. 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). A Robust Multi-Class Obesity Classification and Risk Analysis System by Leveraging the Potentiality of Machine Learning Techniques View
  6. N S, V V R M, Neelima B, Swain S, Raju D, N A. 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). Optimizing Multiclass Classification for Obesity Type Prediction Using Robust Machine Learning and Feature Selection to Enhance Healthcare View