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Artificial Intelligence-assissted Glaucoma Evaluation

NCT03268031 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 10800

Last updated 2020-10-22

No results posted yet for this study

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.

Conditions

Interventions

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.

Sponsors & Collaborators

  • Chinese Academy of Sciences

    collaborator OTHER_GOV

  • Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Xiulan Zhang, Doctor · Sun Yat-sen University

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2017-08-15
Primary Completion
2019-12-01
Completion
2020-02-01

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03268031 on ClinicalTrials.gov