Condition: Diabetes Mellitus Type 2 · Diabetes Mellitus Complications · Sponsor: Second Xiangya Hospital of Central South University
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.
This description comes directly from the study's public registry record.
HouDe Zhou, Prof. · 86-0731-85292223 · houdezhou@csu.edu.cn
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| Second Xiangya Hospital of Central South University | Changsha, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07129148