跳至主要内容
临床试验/NCT03268031
NCT03268031已完成不适用

Development of Artificial Intelligence-assissted Diagnostic Program of Glaucoma

Sun Yat-sen University1 个研究点 分布在 1 个国家目标入组 10,800 人开始时间: 2017年8月15日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
10,800
试验地点
1
主要终点
Accuracy of diagnosis by artificial intelligence algorithm

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Observational
观察模型
Case Only
时间视角
Retrospective

入排标准

性别
All
接受健康志愿者

入选标准

  • able to complete reliable visual field test
  • no history of intraocular surgery or fundus laser

排除标准

  • unable to complete visual field test

结局指标

主要结局

Accuracy of diagnosis by artificial intelligence algorithm

时间窗: from August 2017 to February 2021

Accuracy of diagnosis by artificial intelligence algorithm and compare this result with glaucoma specialists

次要结局

  • Specificity of diagnosis by artificial intelligence algorithm(from August 2017 to February 2021)
  • Sensitivity of diagnosis by artificial intelligence algorithm(from August 2017 to February 2021)

研究者

发起方
Sun Yat-sen University
申办方类型
Other
责任方
Principal Investigator
主要研究者

Xiulan Zhang

Director of Clinical Research Center

Sun Yat-sen University

研究点 (1)

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