Artificial Intelligence-assisted Glaucoma Screening (AIAGS)
- Conditions
- Glaucoma Eye
- Interventions
- Diagnostic Test: Fundus Image
- Registration Number
- NCT03682783
- Lead Sponsor
- Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
- Brief Summary
This study will develop an artificial intelligence (AI) program for the screening of glaucoma.
- Detailed 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.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 8000
- able to complete fundus images
- unable to complete fundus images
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Fundus Image Fundus Image Glaucomatous and Non-glaucomatous fundus images that have been taken from the last 5 years in Shanghai General hospital.
- Primary Outcome Measures
Name Time Method The specificity of the algorithm for diagnosing glaucoma from January 2020 to March 2021 The specificity of the algorithm for diagnosing glaucoma will be calculated ...
The sensitivity of the algorithm for diagnosing glaucoma from January 2020 to March 2021 The sensitivity of the algorithm for diagnosing glaucoma will be calculated .
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Shanghai General Hospital
🇨🇳Shanghai, Shanghai, China