Αποτελέσματα Αναζήτησης
AI’s diverse applications in nutrition research are outlined, including data analysis, prediction, personalized recommendations, and food safety monitoring, which underscores the importance of integrating data science and AI competencies into graduate education to equip the modern workforce.
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.
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.
1 Ιουλ 2024 · Personalized nutrition is revolutionizing healthcare by integrating Artificial Intelligence (AI) to analyze dietary habits, health records, and genetic profiles.
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.
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.
27 Δεκ 2021 · An artificial intelligence application in the field of nutrition and dietetics is a fairly new and important field. Different apps related to nutrition are offered to the use of individuals.
