Artificial Intelligence, Glaucoma
Conditions
Keywords
artificial intelligence, glaucoma
Brief summary
Glaucoma is currently the second leading cause of irreversible blindness in the world. Our study intends to combine clinical data of glaucoma patients in Zhongshan Ophthalmic Center with Artificial Intelligence techniques to create programs that can screen and diagnose glaucoma.
Detailed description
Glaucoma is currently the second leading cause of irreversible blindness in the world, which brings heavy burden to human society. Compared to other ocular diseases, diagnostic process of glaucoma is complicated depends on multiple test results, including visual field test, OCT, etc. How to diagnose glaucoma correctly and fast has always been a hot topic in glaucoma researches. Artificial intelligence is used to study and develop theories and methods that can help simulate and extend human intelligence, which has been utilized in a lot of research fields such as automatic drive and medicine. The study intends to combine clinical data of glaucoma patients in Zhongshan Ophthalmic Center with Artificial Intelligence techniques to create programs that can screen and diagnose glaucoma.
Interventions
DIAGNOSTIC_TESTVisual field and OCT tests
Visual field test and OCT are commonly used essential tests to make accurate diagnosis of glaucoma. Algorithms to classify Visual field and OCT tests would both be developed and verified.
Sponsors
Chinese Academy of Sciences
Sun Yat-sen University
Study design
Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
Inclusion criteria
1. BCVA\>0.1 2. able to complete reliable visual field test 3. no history of intraocular surgery or fundus laser
Exclusion criteria
1\. unable to complete visual field test
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of diagnosis by artificial intelligence algorithm | from August 2017 to February 2021 | Accuracy of diagnosis by artificial intelligence algorithm and compare this result with glaucoma specialists |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Sensitivity of diagnosis by artificial intelligence algorithm | from August 2017 to February 2021 | Sensitivity of diagnosis by artificial intelligence algorithm |
| Specificity of diagnosis by artificial intelligence algorithm | from August 2017 to February 2021 | Specificity of diagnosis by artificial intelligence algorithm |
Countries
China
Outcome results
None listed