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Agentic AI Personalized Dietary Management Study
Sponsor: Seoul National University Hospital
Summary
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.
Official title: Effectiveness of an Agentic AI-Based Personalized Dietary Management Algorithm in Health Screening Participants: A Randomized Controlled Trial
Key Details
Gender
All
Age Range
20 Years - 90 Years
Study Type
INTERVENTIONAL
Enrollment
200
Start Date
2026-06-11
Completion Date
2028-12-31
Last Updated
2026-09-15
Healthy Volunteers
Yes
Conditions
Interventions
Static AI-based personalized dietary goal setting
The AI algorithm generates individualized dietary goals based on baseline information. The generated goals are maintained without dynamic adjustment during the intervention period.
Adaptive AI-based personalized dietary management
The AI algorithm monitors dietary records and relevant participant information, adjusts dietary goals dynamically, and provides personalized feedback to support dietary behavior change.
Locations (1)
Seoul National University Hospital Healthcare System Gangnam Center
Seoul, Seoul, South Korea