Open access
Oct 2026
Image-Based Dietary Assessment Using Multimodal Large Language Models: Performance, Limitations, and Clinical Applicability in Diabetes
Background Image-based dietary assessment is useful for precision diabetes care. Multimodal Large Language Models (mLLMs) may greatly facilitate dietary self-monitoring. However, comprehensive evaluation of their real-world accuracy remains limited. Methods We developed SeeFood, an open-source benchmark, and evaluated...
L. Gravellier, C. Zhang, Y. Wu et al.
· medRxiv · 0 citations