Artificial Intelligence-assisted Glaucoma Screening (AIAGS)

Shanghai Jiao Tong University

Status: Unknown

Conditions: Glaucoma Eye

Treatments: Diagnostic Test: Fundus Image

Study type: Observational

Funder types: Other

Identifiers

NCT03682783

81300776

Details and patient eligibility

About

This study will develop an artificial intelligence (AI) program for the screening of glaucoma.

Full description

We have realized that the glaucomatous optic neuropathy is irreversible. But if early detection and early intervention can be performed to control the development of the disease, it can greatly reduce the blindness rate of glaucoma, improve the life quality and physiological and mental health of patients, and alleviate the social burden. Therefore, screening and early diagnosis of glaucoma is the focus of glaucoma prevention.

China has a population of 1.3 billion, which greatly increase the difficulty of disease screening. In recent years, the intersection of artificial intelligence (AI) technology and modern medicine has made efficient and rapid disease screening possible.

Enrollment: 8,000 estimated patients

Sex: All

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• able to complete fundus images

Exclusion criteria

• unable to complete fundus images

Trial design

8,000 participants in 1 patient group

Fundus Image

Description:

Glaucomatous and Non-glaucomatous fundus images that have been taken from the last 5 years in Shanghai General hospital.

Treatment:

Diagnostic Test: Fundus Image