Artificial Intelligence-assissted Glaucoma Evaluation

Completed

• Conditions: Artificial Intelligence; Glaucoma

• Registration Number: NCT03268031
• Lead Sponsor: Sun Yat-sen University

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.

Study Timeline

• Study Start: 2017-08-15
• Study First Submitted: 2017-08-29
• Study First Submitted QC: 2017-08-30
• Study First Posted: 2017-08-31
• Primary Completion: 2019-12-01
• Study Completion: 2020-02-01
• Status Verified: 2020-10
• Last Update Submitted: 2020-10-19
• Last Update Posted: 2020-10-22

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 10800

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

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
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 Outcome Measures

Name	Time	Method
Specificity of diagnosis by artificial intelligence algorithm	from August 2017 to February 2021	Specificity of diagnosis by artificial intelligence algorithm
Sensitivity of diagnosis by artificial intelligence algorithm	from August 2017 to February 2021	Sensitivity of diagnosis by artificial intelligence algorithm

Trial Locations

Locations (1)

Zhongshan Ophthalmic Center; 🇨🇳 Guangzhou, Guangdong, China