JPRN-UMIN000034587已完成未知
Diagnostic Evaluation of Keratoconus Using Anterior Segment Optical Coherence Tomography and Machine Learning. - Diagnostic Evaluation of Keratoconus Using Machine Learning.
适应症
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 入组人数
- 300
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
- 年龄范围
- 20years-old 至 60years-old（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •Other corneal diseases or history of corneal surgery
研究者
相似试验
已完成
不适用
Diagnostic Evaluation of Keratoconus Using Corneal Topography and Machine Learning.KeratoconusJPRN-UMIN000040128Kitasato University271
招募中
不适用
Preclinical evaluation of diagnosis of actinic keratosis and cutaneous squamous cell carcinomasolar keratosis10040900NL-OMON32657niversitair Medisch Centrum Sint Radboud20
已完成
不适用
Prediction of Keratoconus Progression Using Anterior Segment Optical Coherence Tomography and Deep Learning.KeratoconusJPRN-UMIN000040308Kitasato University250
已完成
2 期
Evaluation of treatment of actinic keratosis with hydrogen peroxideIRCT20190928044912N1Tehran University of Medical Sciences25
招募中
不适用
to check deviation in path of light (also known as aberrations) in eyes which are suspicious to have bulging of front part of eye ( also known as keratoconus)CTRI/2014/08/004817ETHRADHAMA SUPERSPECIALITY EYE HOSPITA50