跳至主要内容
临床试验/NCT07638241
NCT07638241招募中不适用

Effectiveness of an Agentic AI-Based Personalized Dietary Management Algorithm in Health Screening Participants: A Randomized Controlled Trial

Seoul National University Hospital1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2026年6月11日最近更新:
干预措施

试验速览

阶段
不适用
状态
招募中
入组人数
200
试验地点
1

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Prevention
盲法
None

盲法说明

This is an open-label study. Participants and investigators will be aware of group assignments.

入排标准

年龄范围
20 Years 至 90 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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

排除标准

  • [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.

研究组 & 干预措施

Control group

No Intervention

Participants receive standard dietary education and perform passive dietary recording during the 12-week study period.

Static goal AI intervention group

Experimental

Participants receive AI-generated personalized dietary goals that are maintained during the 12-week intervention period.

干预措施: Static AI-based personalized dietary goal setting (Behavioral)

Adaptive goal AI intervention group

Experimental

Participants receive adaptive AI-based dietary tracking, dynamic goal adjustment, and personalized feedback during the 12-week intervention period.

干预措施: Adaptive AI-based personalized dietary management (Behavioral)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Su-Yeon Choi

Professor

Seoul National University Hospital

研究点 (1)

Loading locations...

相似试验