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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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