Mobile Health and Wearable Devices for Diabetes Complication Management

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.

NCT Number	NCT07129148
Lead Sponsor	Second Xiangya Hospital of Central South University Collaborators: First Hospital of China Medical University, The First Affiliated Hospital with Nanjing Medical University, First Affiliated Hospital of Harbin Medical University, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, First Affiliated Hospital of Kunming Medical University, Tianjin Medical University, Shanghai 6th People's Hospital, Jinjiang Municipal Hospital, Shanghai Sixth People's Hospital Fujian Campus, Sinocare
Conditions	Diabetes Mellitus Type 2, Diabetes Mellitus Complications
Enrollment	6,000 participants
Start Date	2025-10-01
Primary Completion	2026-10-01 (estimated)
Study Completion	2027-10-01 (estimated)
Updated on ClinicalTrials.gov	2026-06-01