CTRI/2020/07/026415尚未招募未知
Screening Retinal Images Using Artificial Intelligence for Gradability and Morbidity
Gibbr Technologies Pvt Ltd0 个研究点目标入组 0 人开始时间: 待定最近更新:
试验速览
- 阶段
- 未知
- 状态
- 尚未招募
- 发起方
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
入选标准
- •The images of both male and female patients have been taken into consideration who are 10+ years of age.
排除标准
- 未提供
研究者
相似试验
尚未招募
不适用
Automated Analysis of Retinal Images for Detection of Diabetic Retinopathy using Artificial Intelligence (AI)Patients with any type of diabetes mellitusDiabetic retinopathy screeningImage enhancementImage analysisColor retinal imageArtificial intelligenceDiabetic retinopathyTCTR20211122006ational Higher Education Science Research and Innovation Policy Council (NXPO)10,000
招募中
不适用
Diabetic Eye SentinelPatients who have diabetes mellitusDiabetes MellitusDiabetic RetinopathyTCTR20210618004ational Research Council of Thailand (NRCT)250
尚未招募
3 期
sing Intelligent Retinal Camera to detect changes in the eyes, in cases of diabetes or increased fluid pressure in the eye.CTRI/2015/02/005511Australian Government Cooperative Research Centres Program2,800
进行中（未招募）
Unknown
Study of retinal structure and function in retinal diseaseInherited retinal disease, late-onset retinal degenerationEye DiseasesISRCTN10348278ewcastle upon Tyne Hospitals NHS Foundation Trust40
尚未招募
Unknown
A study to validate accuracy of AI-based cataract screening solution developed by Nex-Fitzap Ltd on smartphonesCTRI/2023/09/057602ex Fitzap Private Limited.