AIMC Topic: Diet

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Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment.

Nutrients Nov 30, 2023
Photo-based dietary assessment is becoming more feasible as artificial intelligence methods improve. However, advancement of these methods for dietary assessment in research settings has been hindered by the lack of an appropriate dataset against whi...
Humans Artificial Intelligence Nutrients Meals Diet Records Diet Benchmarking Nutrition Assessment
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The Role of Artificial Intelligence in Deciphering Diet-Disease Relationships: Case Studies.

Annual review of nutrition May 19, 2023
Modernization of society from a rural, hunter-gatherer setting into an urban and industrial habitat, with the associated dietary changes, has led to an increased prevalence of cardiometabolic and additional noncommunicable diseases, such as cancer, i...
Humans Artificial Intelligence Nutritional Status Diet Industry Autoimmune Diseases
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Virtual Screening of Nrf2 Dietary-Derived Agonists and Safety by a New Deep-Learning Model and Verified and .

Journal of agricultural and food chemistry May 17, 2023
Nuclear factor (erythroid-derived 2)-like 2 (Nrf2) is an essential regulatory target of antioxidants, but the lack of Nrf2 active site information has hindered discovery of new Nrf2 agonists from food-derived compounds by large-scale virtual screenin...
NF-E2-Related Factor 2 Liver Carbon Tetrachloride Diet Deep Learning Antioxidants Rats Oxidative Stress Animals
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Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach.

Journal of medical Internet research Apr 12, 2023
BACKGROUND: Micronutrient deficiencies represent a major global health issue, with over 2 billion individuals experiencing deficiencies in essential vitamins and minerals. Food labels provide consumers with information regarding the nutritional conte...
Diet Mobile Applications Vitamins Machine Learning Algorithms Food Labeling Minerals Micronutrients Humans
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Machine learning-based colorectal cancer prediction using global dietary data.

BMC cancer Feb 10, 2023
BACKGROUND: Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Active health screening for CRC yielded detection of an increasingly younger adults. However, current machine learning algorithms that are trained using older ...
Colorectal Neoplasms Neural Networks, Computer Humans Machine Learning Diet Algorithms
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Alternative additives associated in the feeding of laying hens: performance, biometrics, bone traits, and economic evaluation-an unsupervised machine learning approach.

Tropical animal health and production Feb 10, 2023
Given the current bans on the use of some growth promoting antibiotics in poultry nutrition, the need to use alternative additives which could replace traditional promoters in diets has arisen. The objective of this study was to evaluate the effect o...
Eggs Animal Feed Biometry Cost-Benefit Analysis Poultry Dietary Supplements Animals Chickens Unsupervised Machine Learning Diet Ovum Female
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Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.

Journal of medical systems Jan 13, 2023
Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in...
Forecasting Computer Simulation Deep Learning Overweight Diet Humans Artificial Intelligence Machine Learning Obesity
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Principles and Validations of an Artificial Intelligence-Based Recommender System Suggesting Acceptable Food Changes.

The Journal of nutrition Dec 27, 2022
BACKGROUND: Along with the popularity of smartphones, artificial intelligence-based personalized suggestions can be seen as promising ways to change eating habits toward more desirable diets.
Mobile Applications Food Algorithms Adult Diet Humans Artificial Intelligence
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Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.

Contemporary clinical trials Nov 23, 2022
Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and high cost of delivery. The artificial intelligence (AI) technique of reinforcement learning (RL) is an optimization solution that tracks outcomes assoc...
Randomized Controlled Trials as Topic Telemedicine Humans Diet Cost-Benefit Analysis Adult Artificial Intelligence Treatment Outcome Weight Loss Obesity
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Artificial intelligence-based approaches for traditional fermented alcoholic beverages' development: review and prospect.

Critical reviews in food science and nutrition Oct 31, 2022
Traditional fermented alcoholic beverages (TFABs) have gained widespread acceptance and enjoyed great popularity for centuries. COVID-19 pandemics lead to the surge in health demand for diet, thus TFABs once again attract increased focus for the heal...
Big Data Artificial Intelligence Beverages Diet Alcoholic Beverages
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