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15 Σεπ 2021 · AI algorithms may help better understand and predict the complex and non-linear interactions between nutrition-related data and health outcomes, particularly when large amounts of data need to be structured and integrated, such as in metabolomics.
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Artificial intelligence (AI) is a rapidly evolving area that...
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Artificial intelligence (AI) is a rapidly evolving area that...
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28 Ιουν 2024 · This review’s purpose is four-fold: (i) to investigate AI’s role in nutrition research; (ii) to identify areas in nutrition using AI; (iii) to understand AI’s future potential impact; (iv) to investigate possible concerns about AI’s use in nutrition research.
25 Ιουν 2024 · In recent years, major advances in artificial intelligence (AI) have led to the development of powerful AI systems for use in the field of nutrition in order to enhance personalized dietary...
1 Ιουλ 2024 · This article investigates the forefront of AI-powered personalized nutrition, detailing how sophisticated algorithms process extensive datasets to deliver precise dietary recommendations. ...
1 Ιαν 2024 · This chapter summarizes the current applications of artificial intelligence (AI), mainly machine learning, deep learning, and natural language processing, in three main fields in nutrition research and practice.
17 Απρ 2023 · Artificial Intelligence (AI) is a rapidly emerging technology in healthcare that has the potential to revolutionise clinical nutrition. AI can assist in analysing complex data, interpreting medical images, and providing personalised nutrition interventions for patients.
Unlike the general, one-size-fits-all dietary recommendations, personalized nutrition aims to provide individuals with actionable guidance that supports their goals, manages or prevents disease, and optimizes overall well-being [31].
