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Agentic AI Personalized Dietary Management Study

NCT07638241 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 200

Last updated 2026-06-10

No results posted yet for this study

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.

Conditions

  • Dietary Behavior; Metabolic Health; Obesity; Lifestyle Modification; Metabolic Syndrome Risk

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.

Sponsors & Collaborators

  • Seoul National University

    collaborator OTHER

  • Seoul National University Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
20 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-06-08
Primary Completion
2026-09-10
Completion
2028-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07638241 on ClinicalTrials.gov