AIBullisharXiv – CS AI · 1d ago6/10
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NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient Analysis
Researchers developed NutriMLLM, a specialized family of vision-language models trained on 1.1 million synthetic food images with complete 65-nutrient labels, to accurately estimate dietary micronutrients from photographs. The models outperform existing proprietary systems like GPT-5 and Gemini 3 on most nutrients, addressing a critical gap in clinical nutrition assessment where previous MLLMs frequently failed or produced implausible results.
🧠 GPT-5🧠 Claude🧠 Sonnet