Researchers described the applications of artificial intelligence (AI) to population well-being and nutrition.
By Pooja Toshniwal PahariaOct 11 2023Reviewed by Lily Ramsey, LLM In a recent editorial published in the Nutrients Journal, researchers described the applications of artificial intelligence to population well-being and nutrition.
Nutrition research has increasingly relied on artificial intelligence and machine learning models to comprehend, diagnose, forecast, and explain data. The capabilities and use of artificial intelligence have increased at an unparalleled rate. The latter dives deeply into the intricacies of individual-level nutritional requirements, metabolism, and inheritance. In contrast, public welfare and nutrition are concerned with understanding and influencing the eating habits of whole populations rather than individual dietary needs and genetic predispositions.
AI enables tools to generate and analyze massive amounts of data, including satellite images of agricultural areas and online debates about dietary patterns, to enhance public welfare and nutritional interventions.
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