Using AI imaging to improve blood sugar control in diabetic patients

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• 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

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.