Effectiveness of an Agentic AI-Based Personalized Dietary Management Algorithm in Health Screening Participants: A Randomized Controlled Trial
Effectiveness of an Agentic AI-Based Personalized Dietary Management Algorithm in Health Screening Participants: A Randomized Controlled Trial
This randomized controlled trial aims to evaluate the effectiveness of an Agentic AI-based personalized dietary management algorithm among adults undergoing health screening. Participants will be assigned to a control group, a static goal AI intervention group, or an adaptive goal AI intervention group and followed for 12 weeks.
This study is a randomized controlled trial designed to evaluate whether an Agentic AI-based personalized dietary management algorithm improves dietary behavior and metabolic health indicators among adults undergoing health screening. Eligible participants will be randomly assigned to one of three groups: standard dietary education and passive dietary recording, AI-generated personalized dietary goals maintained throughout the study period, or adaptive AI-based dietary tracking with dynamic goal adjustment and personalized feedback. Outcomes will be assessed at baseline and after 12 weeks, including dietary evaluation index scores and metabolic health-related clinical indicators.
Inclusion Criteria:
Exclusion Criteria:
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