AIMC Topic: Diet
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Decoding dietary myths: The role of ChatGPT in modern nutrition.
Clinical nutrition ESPEN
Feb 23, 2024
In today's world, where nutrition forms the cornerstone of human health, the potential harms of misinformation are concerning. Nutritional myths, whether originating from age-old superstitions, misinterpreted scientific findings, or commercial intere...
Role of Artificial Intelligence in Multinomial Decisions and Preventative Nutrition in Alzheimer's Disease.
Molecular nutrition & food research
Jan 4, 2024
Alzheimer's disease (AD) affects 50 million people worldwide, an increase of 35 million since 2015, and it is known for memory loss and cognitive decline. Considering the morbidity associated with AD, it is important to explore lifestyle elements inf...
Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish Species.
Biomolecules
Dec 14, 2023
Detecting skeletal or bone-related deformities in model and aquaculture fish is vital for numerous biomedical studies. In biomedical research, model fish with bone-related disorders are potential indicators of various chemically induced toxins in the...
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...
The potential of Spirulina platensis to substitute antibiotics in Japanese quail diets: impacts on growth, carcass traits, antioxidant status, blood biochemical parameters, and cecal microorganisms.
Poultry science
Dec 6, 2023
The development of antibiotic-resistant microorganisms prompted the investigation of possible antibiotic substitutes. As a result, the purpose of the current study is to assess the effect of dietary Spirulina platensis extract as an antibiotic altern...
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...
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...
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...
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...
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 ...
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