Using AI imaging to improve blood sugar control in diabetic patients
The Impact of AI-Based Fundus Imaging on Blood Glucose Control and Fundus Examination Completion Rates in Outpatient Diabetic Patients
This study is testing whether using AI imaging can help people with diabetes better control their blood sugar and get more eye exams done.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 200 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Sichuan Provincial People's Hospital Academic / other |
| Locations | 1 site (Chengdu, Sichuan) |
| Trial ID | NCT06819423 on ClinicalTrials.gov |
What this trial studies
This study evaluates how AI-based fundus imaging affects blood glucose control and the completion rates of eye examinations in diabetic patients. It involves a randomized controlled trial with 200 participants, divided into an intervention group receiving AI imaging and a control group receiving standard education. The primary outcomes measured will include blood glucose levels and the rates of completed fundus examinations. The study is conducted at Sichuan Provincial People's Hospital over a one-year period.
Who should consider this trial
Good fit: Ideal candidates are adults aged 18 and older with Type 2 Diabetes Mellitus and an HbA1c level greater than 7%.
Not a fit: Patients without a prior diabetic fundus examination or those with known diabetic retinopathy may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could enhance blood glucose management and increase the rate of necessary eye examinations for diabetic patients.
How similar studies have performed: Other studies have shown promising results with AI imaging in diabetic care, suggesting potential for success in this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years. * Diagnosis of Type 2 Diabetes Mellitus. * Patients with a glycated hemoglobin (HbA1c) level \> 7%. * Ability to comply with all required examinations and provide signed informed consent. Exclusion Criteria: * No previous diabetic fundus examination. * No known diabetic retinopathy. * Absence of other ocular diseases that could lead to retinopathy. * Subjects from whom clear fundus photographs could not be obtained. * Patients with comorbid malignant tumors or severe cardiovascular diseases. * Patients anticipated to have difficulties with follow-up or those residing in other provinces.
Where this trial is running
Chengdu, Sichuan
- Sichuan Academy of Medical Sciences - Sichuan Provincial People's Hospital — Chengdu, Sichuan, China (Recruiting)
Study contacts
- Study coordinator: Jie Li, doctor
- Email: lijieyk@med.uestc.edu.cn
- Phone: +86 139 0809 4675
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.