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Updated: Sep 12, 2025

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Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
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Unlocking Insights from Meal Descriptions: Enhancing Dietary App Features with AI and Rule-Based Methods
Yi-Chin Kato-Lin1, Cheng Ma2, Rema Padman3
1Hofstra University, NY, USA.
Studies in Health Technology and Informatics
|August 8, 2025
Abstract
None:
This study presents a novel method for labeling food items in unstructured meal descriptions using rule-based and AI-driven approaches. Results from analyses of data from a field experiment show that expert support improves meal balance. ChatGPT offers potential for food labeling, which can be used to inform app design.
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