Artificial Intelligence-assissted Glaucoma Evaluation

Study Overview
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Brief Summary
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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
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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.

Official Title
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Development of Artificial Intelligence-assissted Diagnostic Program of Glaucoma

Conditions
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Glaucoma, Artificial Intelligence

Intervention / Treatment
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* Diagnostic Test: Visual field and OCT tests


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: BCVA>0.1 able to complete reliable visual field test no history of intraocular surgery or fundus laser Exclusion Criteria: 1. unable to complete visual field test
Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Glaucoma patients<br>Glaucoma patients will take visual field test and OCT imaging of optic nerve area. All of these data will be collected as source of machine learning. | Diagnostic Test: Visual field and OCT tests<br>* 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.<br>|
| Non-glaucoma participants<br>Non-glaucoma participants will take visual field test and OCT imaging of optic nerve area. All of these data will be collected as source of machine learning. | Diagnostic Test: Visual field and OCT tests<br>* 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.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Accuracy of diagnosis by artificial intelligence algorithm | Accuracy of diagnosis by artificial intelligence algorithm and compare this result with glaucoma specialists | from August 2017 to February 2021 | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Sensitivity of diagnosis by artificial intelligence algorithm | Sensitivity of diagnosis by artificial intelligence algorithm | from August 2017 to February 2021 | 
| Specificity of diagnosis by artificial intelligence algorithm | Specificity of diagnosis by artificial intelligence algorithm | from August 2017 to February 2021 | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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artificial intelligence, glaucoma