AIMC Topic: Energy Intake
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An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.
Nutrients
Sep 14, 2021
Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making ...
goFOOD: An Artificial Intelligence System for Dietary Assessment.
Sensors (Basel, Switzerland)
Jul 31, 2020
Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOOD. The system can estimate the calorie and macronutrient...
Stress among Portuguese Medical Students: the EuStress Solution.
Journal of medical systems
Jan 2, 2020
There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this pa...
Food Volume Estimation Based on Deep Learning View Synthesis from a Single Depth Map.
Nutrients
Dec 18, 2018
An objective dietary assessment system can help users to understand their dietary behavior and enable targeted interventions to address underlying health problems. To accurately quantify dietary intake, measurement of the portion size or food volume ...
Metabolic profile of children with extrahepatic portal vein obstruction undergoing meso-Rex bypass.
The Journal of surgical research
Dec 22, 2017
BACKGROUND: Extrahepatic portal vein obstruction (EHPVO) in children is often associated with growth restriction, which improves after the restoration of portal venous flow with a meso-Rex bypass, but the physiologic mechanism is unknown. The purpose...
Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.
Nutrients
May 13, 2025
Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can result in muscle atrophy, polyneuropathy, increased mortality, or prolonged hospitalizations with complications and higher costs during the recovery p...
Artificial Intelligence-Based Diets: A Role in the Nutritional Treatment of Metabolic Dysfunction-Associated Steatotic Liver Disease?
Journal of human nutrition and dietetics : the official journal of the British Dietetic Association
Apr 1, 2025
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health concern. Effective management of this condition relies heavily on lifestyle modifications and dietary interventions. In this study, we sought to e...
Optimize individualized energy delivery for septic patients using predictive deep learning models.
Asia Pacific journal of clinical nutrition
Sep 1, 2024
BACKGROUND AND OBJECTIVES: We aim to establish deep learning models to optimize the individualized energy delivery for septic patients.
Modeling energy partition patterns of growing pigs fed diets with different net energy levels based on machine learning.
Journal of animal science
Jan 3, 2024
The objectives of this study were to evaluate the energy partition patterns of growing pigs fed diets with different net energy (NE) levels based on machine learning methods, and to develop prediction models for the NE requirement of growing pigs. Tw...
Tracking of Nutritional Intake Using Artificial Intelligence.
Studies in health technology and informatics
May 18, 2023
In this short communication paper, we present the results we achieved for automated calorie intake measurement for patients with obesity or eating disorders. We demonstrate feasibility of applying deep learning based image analysis to a single pictur...
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