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Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52074, first published .
Hands holding a smartphone photographing a healthy salmon and broccoli meal.

Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods Study

Tailored Prompting to Improve Adherence to Image-Based Dietary Assessment: Mixed Methods Study

Journals

  1. Lee L, Bishop R, Stanley J. An automated image-based dietary assessment application: a pilot study. Journal of Nutritional Science 2025;14 View
  2. Rodríguez-Jiménez M, Martín-del-Campo-Becerra G, Sumalla-Cano S, Crespo-Álvarez J, Elio I. Image-Based Dietary Energy and Macronutrients Estimation with ChatGPT-5: Cross-Source Evaluation Across Escalating Context Scenarios. Nutrients 2025;17(22):3613 View
  3. Hinojosa-Nogueira D, Subiri-Verdugo A, Rodríguez-Muñoz A, Díaz-Perdigones C, García-López M, Tinahones F, Moreno-Indias I. Online surveys, a breakthrough in research, especially in nutrition and food sciences. Clinical Nutrition ESPEN 2026;73:103299 View
  4. Fuchs M, Brügger V, Jin Q, Wirth B, Bilz S, von Wangenheim F, Brändle M, Kowatsch T, Jovanova M. Reminder Strategies to Improve Meal-Logging Adherence: Protocol for a Microrandomized Trial. JMIR Research Protocols 2026;15:e100239 View
  5. Forchino F, Chapman D, Brade C, Ducker K, Zhu F, Kerr D. Usability and Acceptability of a Mobile Food Record in Free-Living Athletes: A Single-Group Observational Study. Nutrients 2026;18(19):3208 View
  6. Dézsi C, Gulyás-Oldal V, Paschali E, Gálóczi I, Nagy S, Szili K. Protein Intake and Resistance Training Across Clinical Populations: A PRISMA-Guided Rapid Review of Observational and Randomized Evidence. Nutrients 2026;18(19):3259 View