AI Personalization in Nutrition Care Shows Promise for Dietary Assessment and Glucose Guidance, Not Overall Diet
Artificial intelligence (AI) and machine learning (ML) are demonstrating potential in personalizing specific aspects of nutrition care, particularly dietary assessment and postprandial glucose guidance. Research indicates that machine intelligence can effectively personalize selected components of nutrition care, such as dietary assessment and guidance for blood glucose levels after meals. However, the evidence does not yet reliably support AI's ability to determine the best overall diet for every individual or clinical objective. A European trial, Food4Me, found that participants receiving personalized dietary advice showed greater improvements in dietary behaviors, including reduced red meat, salt, and saturated fat intake, and higher healthy-eating scores, compared to those receiving conventional advice. Interestingly, the study also revealed that incorporating phenotype and genotype information did not further enhance these results; personalization based solely on diet and lifestyle proved equally effe... 
