NCT03268031

Artificial Intelligence-assissted Glaucoma Evaluation

Development of Artificial Intelligence-assissted Diagnostic Program of Glaucoma

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 10,800 (actual)
• Sponsor: Sun Yat-sen University · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Accepted

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.

Conditions

• Artificial Intelligence
• Glaucoma

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Visual 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.

Timeline

• Start date: 2017-08-15
• Primary completion: 2019-12-01
• Completion: 2020-02-01
• First posted: 2017-08-31
• Last updated: 2020-10-22

Locations

1 site across 1 country: China