AIMC Topic: Nutritional Sciences
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A Scoping Review of Artificial Intelligence for Precision Nutrition.
Advances in nutrition (Bethesda, Md.)
Feb 28, 2025
With the role of artificial intelligence (AI) in precision nutrition rapidly expanding, a scoping review on recent studies and potential future directions is needed. This scoping review examines: 1) the current landscape, including publication venues...
Nutritional intelligence in the food system: Combining food, health, data and AI expertise.
Nutrition bulletin
Jan 12, 2025
Transformative change is needed across the food system to improve health and environmental outcomes. As food, nutrition, environmental and health data are generated beyond human scale, there is an opportunity for technological tools to support multif...
Investigation and Assessment of AI's Role in Nutrition-An Updated Narrative Review of the Evidence.
Nutrients
Jan 5, 2025
BACKGROUND: Artificial Intelligence (AI) technologies are now essential as the agenda of nutrition research expands its scope to look at the intricate connection between food and health in both an individual and a community context. AI also helps in ...
Food for thought: a qualitative assessment of medical trainee and faculty perceptions of nutrition education.
BMC medical education
Dec 30, 2024
BACKGROUND: The American Society of Clinical Nutrition recommends 37 to 44 h of undergraduate medical nutrition education. The Total Health Curriculum at Geisinger Commonwealth School of Medicine (GCSOM) contains 14 h of objective-based nutritional i...
The Role of Artificial Intelligence in Nutrition Research: A Scoping Review.
Nutrients
Jun 28, 2024
Artificial intelligence (AI) refers to computer systems doing tasks that usually need human intelligence. AI is constantly changing and is revolutionizing the healthcare field, including nutrition. This review's purpose is four-fold: (i) to investiga...
Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review.
Nutrients
Apr 6, 2024
In industry 4.0, where the automation and digitalization of entities and processes are fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering innovative solutions in various domains. In this context, nutrition, a c...
Transforming Big Data into AI-ready data for nutrition and obesity research.
Obesity (Silver Spring, Md.)
Mar 1, 2024
OBJECTIVE: Big Data are increasingly used in obesity and nutrition research to gain new insights and derive personalized guidance; however, this data in raw form are often not usable. Substantial preprocessing, which requires machine learning (ML), h...
Consistency and Accuracy of Artificial Intelligence for Providing Nutritional Information.
JAMA network open
Dec 1, 2023
Multimodal deep learning as a next challenge in nutrition research: tailoring fermented dairy products based on -mediated lipid metabolism.
Critical reviews in food science and nutrition
Aug 24, 2023
Deep learning is evolving in nutritional epidemiology to address challenges including precise nutrition and data-driven disease modeling. Fermented dairy products consumption as the implementation of specific dietary priority contributes to a lower r...
An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.
Nutrients
Jun 8, 2019
BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research out...
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