CTRI/2020/09/027665尚未招募未知
Artificial Intelligence Based Identification of kidney stone and Prediction of Kidney Stone Composition and Prevention of its Recurrence- a Single Centre Prospective Observational Study
试验速览
- 阶段
- 未知
- 状态
- 尚未招募
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
- •Any patient having kidney and ureteric stone and undergoing endoscopic procedure.
排除标准
- •Patient not willing to participate in the study, Pregnancy (cannot undergo NCCT)
研究者
相似试验
进行中（未招募）
1 期
Development of an algorithm for identification of responders to short term treatment with esomeprazol (Nexium) in primary care. - PPI Response Trialacid related diseaseEUCTR2006-000574-69-DKAstraZeneca A/S
尚未招募
不适用
Advantage of Artificial Intelligence to detect COVID 19 using Chest X-Ray.CTRI/2020/08/027008Institute of Technology and Institute of Pharmacy NIRMA University
招募中
Unknown
Comprehensive analysis-driven identification of mechanisms and biomarkers of therapeutic apheresis to cure ulcer in peripheral arterial disease studyPeripheral arterial diseaseArteriosclerosis obliteransPeripheral arterial diseaseArteriosclerosis obliteransJPRN-jRCT1032230294Wakui Hiromichi10
招募中
不适用
Development of an AI-based system to identify frailty in community residentsAdults living in the communityJPRN-UMIN000045993Fujita Health University100
暂停
不适用
The use of artificial intelligence and mobile health technologies to identify patients at the highest risk of atrial fibrillation (irregular and often abnormally fast heart rate)Atrial fibrillation (AF)Circulatory SystemISRCTN17993837Chelsea and Westminster Hospital NHS Foundation Trust1,800