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Hindi Evolving Dietary Assessment: Tech, AI, Integration
*Corresponding Author:Received Date: May 01, 2025 / Published Date: May 29, 2025
Citation: Peterson J (2025) Evolving Dietary Assessment: Tech, AI, Integration. J Nutr Diet 8: 292.DOI: 10.4172/jndi.1000292
Copyright: © 2025 Dr. John Peterson. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Dietary assessment faces persistent challenges with self-reported data, necessitating innovative solutions. Recent research high-lights a shift towards technology-based methods, including digital platforms, Artificial Intelligence, and wearable devices, to enhance accuracy and reduce participant burden. The integration of biomarkers and objective measures further refines intake estimation. These advancements aim to overcome traditional limitations, providing more precise and reliable dietary data for nutritional research and epidemiological studies. A multi-method approach, combining diverse tools, is crucial for comprehensive understanding
