About this trial
The value of intelligent lifestyle intervention for T2D and its complications has been initially explored, but evidence-based support for the effectiveness of related AI risk prediction models and intervention models remains to be confirmed. The primary objective of this study is to verify the effectiveness of an AI model for predicting the risk of T2D complications based on phenotype, laboratory indicators and wearable device indicators, and to explore the effect and applicability of an intelligent lifestyle intervention model combining wearable devices and smartphones in preventing T2D complications.
Eligibility criteria
Qualifiers
Confirmed diagnosis of Type 2 Diabetes;
Aged ≥ 18 years;
Able to accept the diabetes management model with AI-assisted management and wearable device monitoring;
Able to provide complete lifestyle records, including medical history, medication status, diet, exercise, etc.;
Disqualifiers
Having severe mental illness or language barriers;
Suffering from malignant tumors;
Pregnant or lactating women;
Suspected active infections (such as active pulmonary tuberculosis, pneumonia, etc.);
Trial design
Treatments tested in this trial
- Device: No specific devices
- Device: CGM,CGM management platform
- Device: "Professor Tang" WeChat Mini-program
- Device: CGM, Smart Bracelet, "Professor Tang" WeChat Mini-program
Treatment groups
Sponsors and collaborators
Second Xiangya Hospital of Central South University
Lead sponsor
First Hospital of China Medical University
Collaborator
The First Affiliated Hospital with Nanjing Medical University
Collaborator
First Affiliated Hospital of Harbin Medical University
Collaborator
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Collaborator
First Affiliated Hospital of Kunming Medical University
Collaborator
Tianjin Medical University
Collaborator
Shanghai 6th People's Hospital
Collaborator
Jinjiang Municipal Hospital, Shanghai Sixth People's Hospital Fujian Campus
Collaborator
Sinocare
Collaborator