M. P. Snyder

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...