Actively Recruiting
The Diabetic Retinopathy Screening, Prevention and Control Program
Led by Shanghai Jiao Tong University School of Medicine · Updated on 2020-02-05
500000
Participants Needed
2
Research Sites
1148 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
The Diabetic Retinopathy Screening, Prevention and Control Program
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Meet the diagnostic criteria for type 2 diabetes according to the World Health Organization (WHO) in 1999
- Subjects from other medical institutes including diabetes patients, non-diabetic patients, and healthy participants invited to the study
You will not qualify if you...
- History of drug abuse
- Active sexually transmitted diseases such as AIDS and syphilis
- Active infectious diseases such as viral hepatitis and tuberculosis
- Any condition that the investigator considers unsuitable for participation
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
Ruijin hospital, Shanghai Jiao-Tong University School of Medicine
Shanghai, Shanghai Municipality, China, 200025
Actively Recruiting
2
Shanghai Jiao-Tong University School of Medicine
Shanghai, China, 200025
Actively Recruiting
Research Team
G
Guang Ning, MD,PHD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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