The Diabetic Retinopathy Screening, Prevention and Control Program

Recruiting now

Conditions studied: Diabetic Retinopathy

In brief

The greatest harm of diabetes is various acute and chronic complications, especially diabetic retinopathy(DR), leading to extremely high rates of disability and blindness. Early screening, early diagnosis, and early treatment are the keys to maintaining vision in patients with DR. However, compared with the high prevalence of diabetes in China, the DR screening ability is relatively inadequate. To change this situation, deep learning(DL), a form of artificial intelligence (AI), might be a potential effective method to solve this dilemma.

Key facts

Study ID

NCT04240652

Run by

Shanghai Jiao Tong University School of Medicine

People needed

500000

Starts

2018-06-05

Expected to finish

2040-06-05

Last updated by the study team

2020-02-05

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Meet the diagnostic criteria for type 2 diabetes according to the World Health Organization (WHO) in 1999; Type 1 diabetes, single gene mutation diabetes, secondary diabetes caused by pancreatic damage, Cushing's syndrome, thyroid dysfunction, or acromegaly;
• Subjects from other medical institutes are diabetes, non-diabetic patients and healthy participants who are invited to participate in the study.

You may not qualify if…

• Those who have a history of drug abuse;
• Sexually transmitted diseases such as AIDS and syphilis, and infectious diseases such as viral hepatitis and tuberculosis which are at active phase;
• Any condition that the investigator think that the subject is not suitable for participating in the study.
• For detailed In-/Ex-clusion criteria please see the study protocol.

Where it is running

• Ruijin hospital, Shanghai Jiao-Tong University School of Medicine — Shanghai, Shanghai Municipality, China (enrolling)
• Shanghai Jiao-Tong University School of Medicine — Shanghai, China (enrolling)

Full record on ClinicalTrials.gov

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