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Use of Machine Learning to Predict Individual Postprandial Glycemic Responses to Food Among Individuals With Type 2 Diabetes in India: Protocol for a Prospective Cohort Study

Niteesh K Choudhry, Shweta Priyadarshini, Jaganath Swamy, Mridul Mehta

JMIR Res Protoc 2025;14:e59308

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Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review

Jiakun Zheng, Junjie Wang, Jing Shen, Ruopeng An

J Med Internet Res 2024;26:e54557

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Advancements in Using AI for Dietary Assessment Based on Food Images: Scoping Review

Phawinpon Chotwanvirat, Aree Prachansuwan, Pimnapanut Sridonpai, Wantanee Kriengsinyos

J Med Internet Res 2024;26:e51432

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A Food Intake Estimation System Using an Artificial Intelligence–Based Model for Estimating Leftover Hospital Liquid Food in Clinical Environments: Development and Validation Study

Masato Tagi, Yasuhiro Hamada, Xiao Shan, Kazumi Ozaki, Masanori Kubota, Sosuke Amano, Hiroshi Sakaue, Yoshiko Suzuki, Takeshi Konishi, Jun Hirose

JMIR Form Res 2024;8:e55218

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Meal Timing and Depression Among Chinese Children and Adolescents: Cross-Sectional Study

Huilun Li, Zhaohui Lu, Erliang Zhang, Jie Zhang, Shuheng Cui, Masaki Takahashi, Mi Xiang

JMIR Public Health Surveill 2024;10:e54275

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Rethinking the Social Determination of Food in Chile Through Practices and Interactions of Actors in Food Environments: Nonexperimental, Cross-Sectional Study

Patricia Gálvez Espinoza, Lorena Rodríguez Osiac, Carolina Franch Maggiolo, Daniel Egaña Rojas

JMIR Res Protoc 2024;13:e62765

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Issues Related to the Use of Visual Social Networks and Perceived Usefulness of Social Media Literacy During the Recovery Phase: Qualitative Research Among Girls With Eating Disorders

Elena Faccio, Margherita Reggiani, Michele Rocelli, Sabrina Cipolletta

J Med Internet Res 2024;26:e53334

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Impact of Fruit and Vegetable Enzyme Supplementation on Aerobic Performance and Lactate Response in Older Adults Following High-Intensity Interval Exercise Through Exergaming: Randomized Experimental Matched-Pair Study

Shu-Cheng Lin, Chien-Yen Wang, Tien-Hung Hou, Hong-Ching Chen, Chia-Chi Wang

JMIR Serious Games 2024;12:e52231

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Knowledge, Skills, and Experience With Technology in Relation to Nutritional Intake and Physical Activity Among Older Adults at Risk of Falls: Semistructured Interview Study

Julie Kikkenborg, Emma Magelund, Maria Silke Riise, Lars Kayser, Rikke Terp

JMIR Hum Factors 2024;11:e52575

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Digital Food Frequency Questionnaire Assessing Adherence to the Norwegian Food–Based Dietary Guidelines and Other National Lifestyle Recommendations: Instrument Validation Study

Hege Berg Henriksen, Markus Dines Knudsen, Anette Hjartåker, Rune Blomhoff, Monica Hauger Carlsen

J Med Internet Res 2024;26:e53442

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