Published on in Vol 24, No 11 (2022): November
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/40449, first published
.

Journals
- Bond A, Mccay K, Lal S. Artificial intelligence & clinical nutrition: What the future might have in store. Clinical Nutrition ESPEN 2023;57:542 View
- Ho D, Chiu W, Kao J, Tseng H, Yao C, Su H, Wei P, Le N, Nguyen H, Chang J. Mitigating errors in mobile-based dietary assessments: Effects of a data modification process on the validity of an image-assisted food and nutrition app. Nutrition 2023;116:112212 View
- Leino A, Magee J, Kershaw D, Pai M, Park J. A Comprehensive Mixed‐Method Approach to Characterize the Source of Diurnal Tacrolimus Exposure Variability in Children: Systematic Review, Meta‐analysis, and Application to an Existing Data Set. The Journal of Clinical Pharmacology 2024;64(3):334 View
- Larke J, Chin E, Bouzid Y, Nguyen T, Vainberg Y, Lee D, Pirsiavash H, Smilowitz J, Lemay D. Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment. Nutrients 2023;15(23):4972 View
- Khalifa M, Albadawy M. Artificial intelligence for diabetes: Enhancing prevention, diagnosis, and effective management. Computer Methods and Programs in Biomedicine Update 2024;5:100141 View
- Iglesies-Grau J, Dionne V, Latour É, Gayda M, Besnier F, Gagnon D, Debray A, Gagnon C, Pelletier V, Nigam A, L’Allier P, Juneau M, Bouabdallaoui N, Bherer L. Mediterranean diet and time-restricted eating as a cardiac rehabilitation approach for patients with coronary heart disease and pre-diabetes: the DIABEPIC-1 protocol of a feasibility trial. BMJ Open 2023;13(10):e073763 View
- Atwal K. Artificial intelligence in clinical nutrition and dietetics: A brief overview of current evidence. Nutrition in Clinical Practice 2024;39(4):736 View
- Mauldin K, Pignotti G, Gieng J. Measures of nutrition status and health for weight‐inclusive patient care: A narrative review. Nutrition in Clinical Practice 2024;39(4):751 View
- Ford K, Quintanilha M, Trottier C, Wismer W, Sawyer M, Siervo M, Deutz N, Vallianatos H, Prado C. Exploring relationships with food after dietary intervention in patients with colorectal cancer: a qualitative analysis from the Protein Recommendations to Increase Muscle (PRIMe) trial. Supportive Care in Cancer 2024;32(7) View
- Ho D, Chiu W, Kao J, Tseng H, Lin C, Huang P, Fang Y, Chen K, Su T, Yang C, Yao C, Su H, Wei P, Chang J. Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study. JMIR mHealth and uHealth 2024;12:e54509 View
- Naskar S, Sharma S, Kuotsu K, Halder S, Pal G, Saha S, Mondal S, Biswas U, Jana M, Bhattacharjee S. The biomedical applications of artificial intelligence: an overview of decades of research. Journal of Drug Targeting 2025;33(5):717 View
- Phalle A, Gokhale D. Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications. Frontiers in Nutrition 2025;12 View
- Moyen A, Keane C, Chen Y, Tahasildar B, Lambert G, Drummond K, Carli F, Gillis C. Feasibility of a virtual multimodal prehabilitation intervention for patients with cancer undergoing surgery. Clinical Nutrition ESPEN 2025;66:121 View
- You Q, Li X, Shi L, Rao Z, Hu W. Still a Long Way to Go, the Potential of ChatGPT in Personalized Dietary Prescription, From a Perspective of a Clinical Dietitian. Journal of Renal Nutrition 2025;35(4):510 View
- Cofre S, Sanchez C, Quezada-Figueroa G, López-Cortés X. Validity and accuracy of artificial intelligence-based dietary intake assessment methods: a systematic review. British Journal of Nutrition 2025;133(9):1241 View
- Baldi S, Sarikaya D, Lotti S, Cuffaro F, Fink D, Colombini B, Sofi F, Amedei A. From traditional to artificial intelligence-driven approaches: Revolutionizing personalized and precision nutrition in inflammatory bowel disease. Clinical Nutrition ESPEN 2025;68:106 View
- Moyen A, Fleurent-Grégoire C, Gillis C, Zaks R, Carli F, Scheede-Bergdahl C, Spicer J, Cools-Lartigue J, Najmeh S, Morais J, Mazurak V, Chevalier S. Novel multimodal intervention for surgical prehabilitation on functional recovery and muscle characteristics in patients with non-small cell lung cancer: study protocol for a randomised controlled trial (MMP-LUNG). BMJ Open Respiratory Research 2025;12(1):e002884 View
- Miliku K, Reyna M, Medeleanu M, Dai R, Dubeau A, Lefebvre D, Wright K, Dawod B, Beck M, Brooks E, Kobor M, Duan Q, Brook J, Lou W, Brinkman F, Winsor G, Cook J, Becker A, Simons E, Mandhane P, Moraes T, Azad M, Sears M, Turvey S, Subbarao P. From fetus to 8: the CHILD Cohort Study. American Journal of Epidemiology 2025;194(7):1984 View
- Leblay L, Pelland L, Gagnon J, Guay V, Desroches S, Drouin-Chartier J, Paquette J. Multidisciplinary Care in a Public University Family Medicine Group in Québec (Canada): Data on Patients’ Follow-Up and Cardiometabolic Risk Management. Healthcare 2025;13(14):1704 View
- Singh R, Verest M, Salathé M. Minimum days estimation for reliable dietary intake information: findings from a digital cohort. European Journal of Clinical Nutrition 2025;79(10):1007 View
- Glenn A, Hu F. Perspective: Food Is Medicine: Hype or Hope?. The Journal of Nutrition 2025;155(11):3654 View
- Dionne V, Iglesies‐Grau J, Latour É, Besnier F, Gagnon C, Gayda M, Pelletier V, Selcer S, Vrinceanu T, Debray A, Tessier A, Juneau M, Nigam A, L'Allier P, Bherer L. Optimizing cardiovascular health with a type 2 diabetes remission program: Ultraprocessed food‐intake reduction, Mediterranean diet, chrononutrition and physical training—The DIABEPIC‐2 pilot study. Diabetes, Obesity and Metabolism 2025;27(12):7374 View
- Mundt C, Yusufoğlu B, Kudenko D, Mertoğlu K, Esatbeyoglu T. AI‐Driven Personalized Nutrition: Integrating Omics, Ethics, and Digital Health. Molecular Nutrition & Food Research 2025 View
- Prowting J, Fraschetti E, Pereira T, Tucker J, Gagnon S, Cheng N, Edgell H, Wright D, Klentrou P, Perry C, Josse A. Inflammatory Cytokine Responses to 6 Wks of Increased Dairy Intake in Individuals with Overweight and Obesity–A Randomized Crossover Trial. The Journal of Nutrition 2025 View
- Dugas K, Giroux M, Guerroudj A, Leger J, Rouhafzay A, Rouhafzay G, Jbilou J. Calorie Counting Apps for Monitoring and Managing Calorie Intake in Adults living with Weight-Related Chronic Diseases: A Decade-long Scoping Review (2013-2024) (Preprint). JMIR mHealth and uHealth 2024 View
- Ngo K, Mekhail S, Chan V, Li X, Yin A, Choi H, Allman-Farinelli M, Chen J. The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature. Nutrients 2025;17(22):3515 View
- Sze W, Waki K, Lane D, Hasegawa K, Nakada R, Iwata S, Ji Y, Isogawa A, Aoyama T, Miyake K, Kadowaki Y, Kawaguchi T, Matsuo Y, Miyoshi K, Ishibashi N, Toda G, Kameda S, Igarashi M, Tanaka M, Yamauchi T, Nangaku M. Efficacy of FiberMore, an AI-Based mHealth Intervention to Increase Dietary Fiber Intake Among Type 2 Diabetes Patients: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2025;14:e78019 View
Conference Proceedings
- Antonelli M, Donelli D. The 3rd International Electronic Conference on Nutrients. Precision Nutrition and Artificial Intelligence Mobile Apps: A Narrative Review View
- Aljawawdeh H, Dughmosh R, Almashaqbeh D, Alazzeh H, Aldroubi A. 2024 Global Digital Health Knowledge Exchange & Empowerment Conference (gDigiHealth.KEE). Smart Insulin Calculator: Technological Innovation for Type 1 Diabetes Management Revolutionising Insulin Management with Intelligent Health Technology View
- Ramirez S, Quispe J, Navarrete E. 2025 3rd Cognitive Models and Artificial Intelligence Conference (AICCONF). Eat4U: Calorie Management Based on Predictive Machine Learning Models and Instance Segmentation for University Students in Metropolitan Lima View
