The Impact of AI-Based Fundus Imaging on Blood Glucose Control and Fundus Examination Completion Rates in Outpatient Diabetic Patients

This study aims to evaluate the impact of AI-based fundus imaging on blood glucose control and fundus examination completion rates in diabetic patients by comparing outcomes between those who undergo AI fundus imaging and those who do not. The study is designed as a parallel randomized controlled trial (RCT). Using a random number table, 200 diabetic patients visiting the Department of Endocrinology at Sichuan Provincial People's Hospital between December 2024 and December 2025 will be equally divided into two groups: an intervention group and a control group. Each group will consist of 100 patients, assigned unique random numbers. The intervention group will undergo AI-based fundus imaging once, with the imaging process taking approximately 5 minutes. The control group will receive standard eye health education without AI fundus imaging. The primary outcomes, including blood glucose control, systemic indicators, and fundus examination completion rates, will be assessed and compared between the two groups at 3-month and 6-month follow-ups. This study seeks to determine the value of AI-based fundus imaging in improving diabetes management and complication prevention in diabetic patients.

This description comes directly from the study's public registry record.

Jie Li, doctor  ·  +86 139 0809 4675  ·  lijieyk@med.uestc.edu.cn

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