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RECRUITING
NCT07638241
NA

Agentic AI Personalized Dietary Management Study

Sponsor: Seoul National University Hospital

View on ClinicalTrials.gov

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

Interventions

BEHAVIORAL

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.

BEHAVIORAL

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