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.
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.
Study Type
OBSERVATIONAL
Enrollment
10,800
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.
Zhongshan Ophthalmic Center
Guangzhou, Guangdong, China
Accuracy of diagnosis by artificial intelligence algorithm
Accuracy of diagnosis by artificial intelligence algorithm and compare this result with glaucoma specialists
Time frame: from August 2017 to February 2021
Sensitivity of diagnosis by artificial intelligence algorithm
Sensitivity of diagnosis by artificial intelligence algorithm
Time frame: from August 2017 to February 2021
Specificity of diagnosis by artificial intelligence algorithm
Specificity of diagnosis by artificial intelligence algorithm
Time frame: from August 2017 to February 2021
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