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TRV-2026-0669Certified recordPeer-reviewed

Artificial Intelligence in Nutrition and Dietetics: A Comprehensive Review of Current Research

Background/Objectives: Artificial intelligence (AI) has emerged as a transformative force in healthcare, with nutrition and dietetics becoming key areas of application. AI technologies are being employed to enhance dietary assessment, personalize nutrition plans, manage chronic diseases, deliver virtual coaching, and support public health nutrition. This review aims to critically synthesize the current literature on AI applications in nutrition, identify research gaps, and outline directions for future developme…

Health · The Trace — both readings · certified 2026-08-06 · v1 · article view · machine-readable

Current reading — gain

AI-driven systems improve dietary tracking accuracy and enable personalized diet recommendations and disease-specific nutrition management in clinical and public health practice.

Current reading — problem

AI applications in nutrition face persistent challenges with model transparency, ethical use of health data, and limited generalizability, particularly underrepresentation of low-resource settings.

What this doesn’t fix

Findings are constrained by limited generalizability across diverse populations and underrepresentation of low-resource settings, plus unresolved issues of model transparency and ethical use of health data.

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Truvace Impact Record TRV-2026-0669, v1: “Artificial Intelligence in Nutrition and Dietetics: A Comprehensive Review of Current Research.” Truvace, 2026-08-06. /record/TRV-2026-0669 (accessed at citation time). sha256 3a30aac679bd2b18…

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