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

Formative Evaluation of Digital Health Interventions (3439) Web-based and Mobile Health Interventions (4199) Obesity and Nutrition as Public Health Problem (435) Instruments and Questionnaires for Nutrition and Food Intake (224) Generative Language Models Including ChatGPT (802) Behavior Change (900) Health Coaching for Diabetes Patients (181) Prevention and Health Promotion (1462)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75421, first published .
A Behavioral Science-Informed Agentic Workflow for Personalized Nutrition Coaching: Development and Validation Study

A Behavioral Science-Informed Agentic Workflow for Personalized Nutrition Coaching: Development and Validation Study

A Behavioral Science-Informed Agentic Workflow for Personalized Nutrition Coaching: Development and Validation Study

Authors of this article:

Eric Yang1 Author Orcid Image ;   Tomas Garcia1 Author Orcid Image ;   Hannah G Williams1 Author Orcid Image ;   Bhawesh Kumar1 Author Orcid Image ;   Martin Ramé1 Author Orcid Image ;   Eileen Rivera1 Author Orcid Image ;   Yiran Ma1 Author Orcid Image ;   Jonathan Amar1 Author Orcid Image ;   Caricia Catalani1 Author Orcid Image ;   Yugang Jia1 Author Orcid Image
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Journals

  1. Goh H, Sancenon V, Chu B, Koh G, Koh L, Teo D, Ooi M, Thng C, Tan C, Chua D, Ta A. Personalised health plan development using agentic AI in Singapore’s national preventive care programme: a pilot study. npj Digital Medicine 2026 View
  2. Abdur Rahman L, Dedousis V, Papathanail I, Poursoleymani R, Kafyra M, Kalafati I, Mougiakakou S. Generative AI in Precision Nutrition: A Review of Current Developments and Future Directions. Nutrients 2026;18(6):938 View