Toward Robust AI-Assisted Dietary Assessment for Diabetes Self-Management: Quantifying and Decomposing Large Language Model Prediction Variability From Meal Images

Unlabelled: Nutrient estimation from meal images by multimodal large language models can support diabetes self-management, but its robustness is limited by variability driven by both sensitivity to visual presentation and inherent model instability. Accounting for and mitigating this variability is essential for robust AI-assisted dietary assessment.

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Publication Details

Journal
JMIR Diabetes
Published
2026-09-04
DOI
https://doi.org/10.2196/102715
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
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article

Toward Robust AI-Assisted Dietary Assessment for Diabetes Self-Management: Quantifying and Decomposing Large Language Model Prediction Variability From Meal Images

Zhaohua Wang, Kayo Waki, Daniel Lane
JMIR Diabetes
Nutritional Studies and Diet
article

Toward Robust AI-Assisted Dietary Assessment for Diabetes Self-Management: Quantifying and Decomposing Large Language Model Prediction Variability From Meal Images

Zhaohua Wang, Kayo Waki, Daniel Lane
article en

Abstract

Unlabelled: Nutrient estimation from meal images by multimodal large language models can support diabetes self-management, but its robustness is limited by variability driven by both sensitivity to visual presentation and inherent model instability. Accounting for and mitigating this variability is essential for robust AI-assisted dietary assessment.

JMIR DiabetesVol. 11
University of Tokyo Hospital (JP), The University of Tokyo (JP)
Zero hunger
Openalex Percentile: Top 8%
Nutritional Studies and Diet
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