AIMC Topic: Energy Intake

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Reasoning-Driven Food Energy Estimation via Multimodal Large Language Models.

Nutrients Mar 24, 2025
Image-based food energy estimation is essential for user-friendly food tracking applications, enabling individuals to monitor their dietary intake through smartphones or AR devices. However, existing deep learning approaches struggle to recognize a ...
Deep Learning Large Language Models Humans Nutrition Assessment Language Energy Intake
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Diet Quality and Caloric Accuracy in AI-Generated Diet Plans: A Comparative Study Across Chatbots.

Nutrients Jan 7, 2025
With the rise of artificial intelligence (AI) in nutrition and healthcare, AI-driven chatbots are increasingly recognised as potential tools for generating personalised diet plans. This study aimed to evaluate the capabilities of three popular chatb...
Generative Artificial Intelligence Diet, Reducing Diet Energy Intake Humans Artificial Intelligence Female Adult Male
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A Food Intake Estimation System Using an Artificial Intelligence-Based Model for Estimating Leftover Hospital Liquid Food in Clinical Environments: Development and Validation Study.

JMIR formative research Nov 5, 2024
BACKGROUND: Medical staff often conduct assessments, such as food intake and nutrient sufficiency ratios, to accurately evaluate patients' food consumption. However, visual estimations to measure food intake are difficult to perform with numerous pat...
Humans Artificial Intelligence Energy Intake Eating Food Service, Hospital
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Validation of artificial intelligence-based application to estimate nutrients in daily meals.

Journal of cardiology Oct 30, 2024
BACKGROUND: Diet modification is a mainstay for the successful management of metabolic syndrome and potentially may reduce the risk of cardiovascular disease. Accurate estimation of essential nutrients in daily meals is currently challenging to quant...
Humans Nutrients Artificial Intelligence Meals Female Male Dietary Proteins Adult Energy Intake
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Enhancing dietary analysis: Using machine learning for food caloric and health risk assessment.

Journal of food science Oct 4, 2024
In the wake of growing concerns regarding diet-related health issues, this study investigates the application of machine learning methods to estimate the energy content and classify the health risks of foods based on the USDA National Nutrient Databa...
Humans Machine Learning Algorithms Glycemic Index Diet Risk Assessment Energy Intake Food Analysis Nutritive Value
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Can the AI tools ChatGPT and Bard generate energy, macro- and micro-nutrient sufficient meal plans for different dietary patterns?

Nutrition research (New York, N.Y.) Jul 14, 2024
Artificial intelligence chatbots based on large language models have recently emerged as an alternative to traditional online searches and are also entering the nutrition space. In this study, we wanted to investigate whether the artificial intellige...
Dietary Carbohydrates Recommended Dietary Allowances Energy Intake Dietary Supplements Nutritive Value Humans Meals Artificial Intelligence Nutrients
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AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.

Annals of medicine Dec 7, 2023
OBJECTIVE: Human error estimating food intake is a major source of bias in nutrition research. Artificial intelligence (AI) methods may reduce bias, but the overall accuracy of AI estimates is unknown. This study was a systematic review of peer-revie...
Nutrition Assessment Diet Energy Intake Humans Artificial Intelligence
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Artificial Intelligence Technology for Food Nutrition.

Nutrients Oct 27, 2023
Food nutrition is generally defined as the heat energy and nutrients obtained from food by the human body, such as protein, fat, carbohydrates and so on [...].
Food Nutrients Artificial Intelligence Carbohydrates Energy Intake Humans
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Validating Accuracy of an Internet-Based Application against USDA Computerized Nutrition Data System for Research on Essential Nutrients among Social-Ethnic Diets for the E-Health Era.

Nutrients Jul 31, 2022
Internet-based applications (apps) are rapidly developing in the e-Health era to assess the dietary intake of essential macro-and micro-nutrients for precision nutrition. We, therefore, validated the accuracy of an internet-based app against the Nutr...
Diet Energy Intake Artificial Intelligence Vitamin B 12 United States Department of Agriculture Nutrients United States Internet Carbohydrates Telemedicine
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Evaluation of a Novel Artificial Intelligence System to Monitor and Assess Energy and Macronutrient Intake in Hospitalised Older Patients.

Nutrients Dec 17, 2021
Malnutrition is common, especially among older, hospitalised patients, and is associated with higher mortality, longer hospitalisation stays, infections, and loss of muscle mass. It is therefore of utmost importance to employ a proper method for diet...
Humans Aged Nutrition Assessment Diet Feeding Behavior Meals Artificial Intelligence Hospitalization Inpatients Energy Intake Malnutrition Image Processing, Computer-Assisted Eating
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