Glaucoma Eye
Conditions
Keywords
Artificial Intelligence; Glaucoma
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.
Interventions
DIAGNOSTIC_TESTFundus Image
Fundus image of optic nerve
Sponsors
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
Inclusion criteria
* able to complete fundus images
Exclusion criteria
* unable to complete fundus images
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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 . |
Countries
China
Contacts
Primary ContactHaiyan Wang, Ph.D.
Backup ContactKun Liu, Ph.D.
Outcome results
None listed