Related Experiment Video
Updated: Sep 6, 2026
13:19
Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
Toward Robust AI-Assisted Dietary Assessment for Diabetes Self-Management: Quantifying and Decomposing Large Language
Zhaohua Wang1, Daniel Lane1, Kayo Waki1,2
1Department of Health and Behavioral Informatics & Therapeutics (HABIT), Graduate School of Medicine, The University of Tokyo, Faculty of Medicine Bldg. 2, 2nd Floor, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan, 81 3-5841-1892 ext 21892.
JMIR Diabetes
|September 4, 2026
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.