The Diabetic Retinopathy Screening, Prevention and Control Program

Status: Recruiting
Location: See all (2) locations...
Study Type: Observational
SUMMARY

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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: t
View:

• 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.

Locations
Other Locations
China
Ruijin hospital, Shanghai Jiao-Tong University School of Medicine
RECRUITING
Shanghai
Shanghai Jiao-Tong University School of Medicine
RECRUITING
Shanghai
Contact Information
Primary
Guang Ning, MD,PHD
guangning@medmail.com.cn
8621-64370045
Time Frame
Start Date: 2018-06-05
Estimated Completion Date: 2040-06-05
Participants
Target number of participants: 500000
Treatments
Subjects with fundus photography
Subjects diagnosed with diabetes or not who have fundus images from MMCs and other medical institutes.
Related Therapeutic Areas
Sponsors
Leads: Shanghai Jiao Tong University School of Medicine

This content was sourced from clinicaltrials.gov