Agentic AI personalized dietary management
Official title: Effectiveness of an Agentic AI-Based Personalized Dietary Management Algorithm in Health Screening Participants: A Randomized Controlled Trial
Run by Seoul National University Hospital · NCT07638241 · Data updated 2026-11-12
This study tests an AI-powered, personalized diet plan to see if it helps adults improve eating habits and metabolic health over 12 weeks.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 20 Years to 90 Years |
| Sex | All |
| Enrollment | 200 (estimated) |
| Sponsor | Seoul National University Hospital Academic / other |
| Drugs / interventions | chemotherapy |
| Locations | 1 site (Seoul, Seoul) |
| Status | Recruiting |
| Started | June 11, 2026 |
| Main results expected | February 26, 2027 |
| Study ends | December 31, 2028 |
| Registry record updated | September 15, 2026 |
| Trial ID | NCT07638241 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults 20 years or older who underwent a health examination at Seoul National University Hospital Gangnam Center and can use a smartphone or study-related apps.
✕Probably not a fit
Individuals unable to use smartphones or digital study tools, or those with conditions that severely limit dietary management, may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This randomized controlled trial compares three approaches: standard dietary education with passive recording, AI-generated static dietary goals, and AI-based adaptive dietary management with dynamic feedback. Adults undergoing health screening are assigned to one of the three groups and followed for 12 weeks. Outcomes include dietary behavior scores and metabolic health indicators measured at baseline and study end. The aim is to determine whether an agentic AI system improves dietary choices and related health metrics compared with usual care and static AI goals.
Why it matters
Potential benefit: If successful, participants may experience improved dietary habits and metabolic health indicators through personalized AI coaching.
How similar studies have gone: Prior digital health and AI-guided nutrition studies show potential for behavior change, though results vary and this specific agentic AI approach is novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults aged 20 years or older * Individuals from the general population who underwent a health examination at the Seoul National University Hospital Healthcare System Gangnam Center * Individuals who are capable of independently using a smartphone and operating study-related applications or text messaging functions * Individuals without conditions that significantly interfere with standard dietary management, as specified in the exclusion criteria \[Section 9.2 Exclusion Criteria\] Exclusion Criteria: * Individuals unable to use a smartphone or study-related digital program/application, including those without a smartphone or unable to operate text messaging or application-based functions. * End-stage renal disease or patients currently receiving dialysis * Active cancer or currently undergoing chemotherapy or radiotherapy * Severe heart failure, liver cirrhosis, or hepatic insufficiency accompanied by varices, bleeding, ascites, hepatic encephalopathy, or jaundice * Malabsorption disorders such as Crohn's disease or short bowel syndrome * Poorly controlled hyperthyroidism or hypothyroidism * Diagnosed eating disorders or severe psychiatric disorders * Pregnant or breastfeeding women, or women who may become pregnant during study participation. * Individuals with recent major weight-related interventions or extreme body weight changes within the past 3 months, including:Bariatric surgery such as gastrectomy or gastric bypass surgery Newly initiated anti-obesity pharmacotherapy (e.g., semaglutide/Wegovy, tirzepatide/Mounjaro) * Individuals considered by the investigator to have poor compliance potential or otherwise deemed unsuitable for participation in the clinical study.
Where it's running
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Seoul National University Hospital Healthcare System Gangnam Center
Seoul, Seoul, South Korea Recruiting
Study contacts
- Study coordinator: Suyeon Choi, MD, PhD
- Email: 65390@snuh.org
- Phone: 02-2112-5639
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.