ISRCTN14323809进行中（未招募）Unknown
MYO-Guide: a machine learning approach to the analysis of MRI
ewcastle University0 个研究点目标入组 2,000 人开始时间: 2023年6月6日最近更新:
适应症
试验速览
- 阶段
- Unknown
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 2,000
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
- 性别
- All
入选标准
- •This is a data archive study and no patients will be recruited into the study. This study will be using historical muscle MRI scans as well as limited patient data (i.e. age, sex, and genetic diagnosis of muscle disease)
排除标准
- •This is a data archive study and no patients will be recruited into the study. This study will be using historical muscle MRI scans as well as limited patient data (i.e. age, sex, and genetic diagnosis of muscle disease)
研究者
相似试验
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
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
尚未招募
不适用
Machine Learning and Artificial Intelligence for Early Detection of Stroke and Atrial FibrillatioNL-OMON56279Kompetenznetz Vorhofflimmern e.V./Atrial Fibrillation NETwork (AFNET)150
尚未招募
Unknown
Machine Learning using CT Images in Diagnosis and Staging of Laryngeal CancerCTRI/2024/06/069023ivea Roy
已完成
不适用
Deep learning prognostic model for pancreatic cancerNeoplasmsKCT0007154Asan Medical Center2,584