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AI-Based Lifestyle Guidance Study

NCT07160972 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2025-12-02

No results posted yet for this study

Summary

The X Life model is an innovative AI-based lifestyle guidance system designed to provide tailored health management recommendations for individuals with T2DM or prediabetes, leveraging continuous glucose monitoring (CGM) data, wearable activity and sleep metrics, and baseline clinical information. Despite its potential, a lack of in-depth understanding of real-world user experiences remains a key barrier to clinical adoption.

This exploratory user study aims to systematically assess the usability, acceptability, and user experience of the X Life model in the target population, to identify facilitators and barriers to adoption, and to preliminarily explore the association between X Life use and changes in user-reported outcomes, behavior patterns, and device-monitored health metrics.

Conditions

Interventions

OTHER

Lifestyle Management

Participants will use the X Life system via AR glasses or mobile terminal (smartphone/tablet) for 7 days. The system provides personalized dietary and exercise recommendations at dynamic trigger points (before/after meals, before/after exercise, before bedtime) using baseline clinical data, real-time CGM readings, dietary images, activity data, and wearable monitoring (activity, sleep, heart rate). Standard care guidance will also be provided in accordance with national dietary and physical activity guidelines.

Sponsors & Collaborators

  • Li Huating

    lead OTHER

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-09-07
Primary Completion
2025-09-21
Completion
2025-09-30

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

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 NCT07160972 on ClinicalTrials.gov