Article

A Hybrid CNN–MLLM Architecture for Image-Based Nutrition Estimation and Advisory Insulin Decision Support in Type 1 Diabetes

2026-05-11

Abstract excerpt

Accurate estimation of meal composition from food images can support safer and more reliable insulin bolus decision-making for individuals with Type 1 diabetes. Existing food recognition and nutrition estimation systems are often designed for general dietary logging and do not directly integrate food analysis with personalized insulin therapy parameters. This study presents an image-based nutrition estimation and...

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Literature Corpus work: 190bcc5a-2da8-5cce-8315-90cd32f3aa5e
DOI: 10.20944/preprints202605.0623.v1

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