Investigation and Assessment of AI’s Role in Nutrition—An Updated Narrative Review of the Evidence
University of Sharjah · University of Oxford
Indexed incrossrefpubmed
Abstract
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 tracing and offering solutions in dietary assessment, personalized and clinical nutrition, as well as disease prediction and management, such as cardiovascular diseases, diabetes, cancer, and obesity. This review aims to investigate and assess the different applications and roles of AI in nutrition and research and understand its potential future impact.
Methods
We used PubMed, Scopus, Web of Science, Google Scholar, and EBSCO databases for our search.
Citation impact
67
total citations
- FWCI
- 92.71
- Percentile
- 100%
- References
- 88
Citations per year
Authors
6Topics & keywords
Topics
Keywords
- Context (archaeology)
- Computer science
- Nutrigenomics
- Wearable technology
- Data science
- Scope (computer science)
- Medicine
- Artificial intelligence
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