2023
DOI: 10.1038/s41430-023-01350-3
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Machine learning and personalized nutrition: a promising liaison?

Paola G. Ferrario,
Kurt Gedrich
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Cited by 3 publications
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“…with automated food recognition and quantification techniques) and monitoring metabolic response as it increasingly implemented with the use of continuous glucose monitoring devices [11]. Novel technologies for dietary and metabolic monitoring can be combined with several artificial intelligence techniques allowing to take personalized nutrition to the next level by creating recommendation that are tailored to individual needs [12]. Although this area of research is vibrant and produces novel results, it is important to emphasize that most approaches have yet to be scientifically proven using adequate study designs and there are uncertainties regarding ethical, data privacy, and regulatory topics.…”
mentioning
confidence: 99%
“…with automated food recognition and quantification techniques) and monitoring metabolic response as it increasingly implemented with the use of continuous glucose monitoring devices [11]. Novel technologies for dietary and metabolic monitoring can be combined with several artificial intelligence techniques allowing to take personalized nutrition to the next level by creating recommendation that are tailored to individual needs [12]. Although this area of research is vibrant and produces novel results, it is important to emphasize that most approaches have yet to be scientifically proven using adequate study designs and there are uncertainties regarding ethical, data privacy, and regulatory topics.…”
mentioning
confidence: 99%