Development of an intelligent food nutrition recognition and nutrient intake assessment system in hospital settings

Background Hospital nutritional diets significantly impact healthcare service standards, therapeutic outcomes, and patient satisfaction. Traditional manual dietary survey methods suffer from substantial limitations and high resource demands. Despite technological advances, few systems have successfully integrated machine vision, electronic weighing, and standardized databases for real-time nutrient assessment in clinical settings. Objective To develop and validate an intelligent food nutrition r