跳至主要内容
临床试验/CTRI/2021/05/033389
CTRI/2021/05/033389尚未招募不适用

Validate an Artificial Intelligence solution for diagnosing cataract using a mobile aided imaging system

Sankara Eye Hospital1 个研究点 分布在 1 个国家目标入组 914 人开始时间: 2021年10月5日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
914
试验地点
1
主要终点
Detection of cataract with visual acuity 6/18 in general population using smartphone based images of the eye

研究概览

简要总结

·  Using an Artificial Intelligence algorithm we are aiming at creating a serviceable option to improve clinical workflow of cataract’s diagnosis in the background of large-population screening (community screening). This will be achieved by using a smartphone and capturing an image of the eye.

· The AI algorithm would be used to identify cataract, normal eye and pseudophakia/aphakia. This would be compared with a slit lamp examination to identify the presence of cataract

The study looks to compare the ability of an AI based prediction of a photograph of the eye to help identify cataracts in the study population.

研究设计

研究类型
Observational

入排标准

年龄范围
50.00 Year(s) 至 99.00 Year(s)(—)
性别
All

入选标准

  • •Ages above 50 years All types of cataract Pseudphakia CLear lens.

排除标准

  • •Nystagmus Corneal opacity.

结局指标

主要结局

Detection of cataract with visual acuity 6/18 in general population using smartphone based images of the eye

时间窗: At baseline

次要结局

  • Acceptance of AI based screening among patients at outreach camps(At baseline)

研究者

申办方类型
Research institution and hospital

研究点 (1)

Loading locations...

相似试验