Effectiveness of an Agentic AI-Based Personalized Dietary Management Algorithm in Health Screening Participants: A Randomized Controlled Trial
The trial, sponsored by Seoul National University Hospital, aims to evaluate the effectiveness of an AI-driven dietary management system in improving dietary behaviors and metabolic health among adults undergoing health screening. This innovative approach positions the asset within the growing digital health and personalized nutrition markets, which are projected to expand significantly due to increasing health awareness and the demand for tailored health solutions. The competitive landscape includes traditional dietary management programs and emerging digital health platforms. Successful outcomes could enhance the sponsor's reputation in the digital health space and attract potential partnerships or investments. However, the trial's not-yet-recruiting status indicates a need for ongoing diligence regarding recruitment timelines and regulatory considerations.
Indication: Dietary Behavior; Metabolic Health; Obesity; Lifestyle Modification; Metabolic Syndrome Risk
Modality: behavioral intervention
Target: Agentic AI-based personalized dietary management algorithm
Sponsor: Seoul National University Hospital
Source URL: ClinicalTrials.gov
Source updated: Detailed source ingestion pending
Ingested: Jul 14, 2026
Model: trialsignal-ai-v1
Validation: validated
Matched by target_normalized: Agentic AI-based personalized dietary management algorithm
View original source fields
Condition raw: Dietary Behavior; Metabolic Health; Obesity; Lifestyle Modification; Metabolic Syndrome Risk
Condition normalized: Dietary Behavior; Metabolic Health; Obesity; Lifestyle Modification; Metabolic Syndrome Risk
Modality raw: behavioral intervention
Modality normalized: behavioral intervention
Target raw: Agentic AI-based personalized dietary management algorithm
Target normalized: Agentic AI-based personalized dietary management algorithm