Biró, Lajos (2025) Artificial intelligence applications in nutrition science: A brief thematic overview. ACTA ALIMENTARIA: AN INTERNATIONAL JOURNAL OF FOOD SCIENCE, 54 (4). pp. 559-575. ISSN 0139-3006
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Abstract
Artificial intelligence (AI) and machine learning (ML) methods are increasingly applied across various domains of nutrition science and dietetics. This paper provides a thematic overview of the key research and practical applications, including image- and sensor-based tools for dietary intake assessment, predictive models used in food production and safety, public health and epidemiological applications, and precision nutrition strategies in clinical diagnostics and therapy. It also addresses the integration of diverse data sources and the recognition of complex biological patterns, while also highlighting ethical, legal, and data protection challenges.
| Item Type: | Article |
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| Uncontrolled Keywords: | Artificial intelligence; Applications; machine learning; Food Science & Technology; |
| Subjects: | T Technology / alkalmazott, műszaki tudományok > TX Home economics / háztartástan > TX642-TX840 Food sciences / élelmiszertudomány |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 16 Dec 2025 13:31 |
| Last Modified: | 16 Dec 2025 13:31 |
| URI: | https://real.mtak.hu/id/eprint/230820 |
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