NCT07160985

AI-Assisted Blood Glucose Management Study

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 131 (actual)
• Sponsor: Li Huating · Academic / Other
• Sex: All
• Age: 18 Years – 70 Years
• Healthy volunteers: Not accepted

Summary

AI-driven health management tools can leverage continuous glucose monitoring (CGM), physical activity, and dietary data to provide real-time, individualized feedback, improving self-management and adherence. The X Life model integrates AI algorithms with wearable devices to dynamically adjust dietary and exercise recommendations. Preliminary user studies suggest good usability and user experience, with potential to promote positive behavior change. This trial aims to preliminarily evaluate whether the X Life AI system can improve glucose tolerance (measured by oral glucose tolerance test \[OGTT\] incremental area under the curve \[iAUC\]) in adults with prediabetes, providing effect size and protocol design reference for a future confirmatory randomized controlled trial. The investigators designed this trial with the assistance of a digital twin-based clinical research system (termed X Town).

Conditions

• Pre-diabetes

Interventions

Type	Name	Description
OTHER	AI-based Lifestyle Management	Participants will use the X Life system for 28 days, receiving real-time, personalized dietary and exercise recommendations triggered by glucose level and activity tracker data. Participants can interact with the system by uploading meal images, physical activity data, and wearable-derived metrics.
OTHER	Lifestyle Management	Participants will receive guideline-based lifestyle counseling according to national prediabetes prevention guidelines, delivered via mobile terminal, without AI-generated recommendations.

Timeline

• Start date: 2025-09-07
• Primary completion: 2025-11-23
• Completion: 2025-11-30
• First posted: 2025-09-08
• Last updated: 2026-02-12

Locations

1 site across 1 country: China