The Diabetic Retinopathy Screening, Prevention and Control Program

Sponsor
Shanghai Jiao Tong University School of Medicine
Study ID
NCT04240652
Status
Recruiting
Apply to this trial

Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Accepted

Study Details

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 Dates

First listed
Jan 27, 2020
Start date
Jun 5, 2018
Status verified
Feb 2020
Primary completion
Jun 5, 2038
Completion
Jun 5, 2040

Study Design

Enrollment
500,000 participants (estimated)

Arms

  • Arm: Subjects with fundus photography
    Subjects diagnosed with diabetes or not who have fundus images from MMCs and other medical institutes.

Primary Outcome Measure

Diabetic retinopathy [ Time Frame: through study completion, up to 20 years ]

Central Contacts

Find similar trials

Nationwide
Diabetic retinopathy trialsOphthalmology trialsRetina trials

Related Studies