Artificial Intelligence and Digital Technologies in Nutrition Research and Dietetics Practice
Authors
Ms. Smriti Kumari
PG Scholar, Department of Home Science, Swami Vivekanand Subharti University, U.P. (IN)
Dr. Neetu Yadav
Assistant Professor, Department of Home Science, Swami Vivekanand Subharti University, U.P. (IN)
Dr. Shalu Nehra
Assistant Professor, Department of Home Science, Swami Vivekanand Subharti University, U.P. (IN)
Prof. Jyoti Gour
Professor, Department of Home Science, Swami Vivekanand Subharti University, U.P. (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2026.150100050
Subject Category: Civil Engineering
Volume/Issue: 15/1 | Page No: 573-576
Publication Timeline
Submitted: 2026-02-06
Published: 2026-02-06
Abstract
In recent years, digital technologies and artificial intelligence (AI) have begun to transform nutrition research and dietetics practice. This review examines how AI and digital tools are applied in dietary assessment, personalized planning and behaviour monitoring; how mobile apps and digital platforms support nutrition counselling; how machine-learning models predict nutrient intake and health outcomes; the ethical, privacy and equity concerns that arise; and future trends including AI-driven virtual dietitians and fully integrated nutrition-care ecosystems. Although promising, the deployment of these innovations must navigate issues of data quality, algorithmic bias, professional roles, user engagement and regulatory frameworks. Effective integration into dietetics will require interdisciplinary collaboration, transparent methods, and equitable access.
Keywords
Artificial intelligence, Digital nutrition, Dietetics, Machine learning, Nutrition technology
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References
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