DRKS00023078尚未招募不适用
Machine learning in the MRI diagnostics of neurodegenerative diseases
Klinik für Neuroradiologie, Universitätsklinikum Freiburg0 个研究点目标入组 5,000 人开始时间: 2020年9月16日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 5,000
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
- 年龄范围
- 18 Years 至 one(—)
- 性别
- All
入选标准
- •Adult patients who have received a cranial MRI with the question of a neurodegenerative disease and a comparative collective of patients who have received a cranial MRI with comparable sequences but non-neurodegenerative question
排除标准
- •Minority. A specific further exclusion of patients is not planned to prevent a falsification of the created algorithms for patient subgroups.
研究者
相似试验
招募中
不适用
Diagnostic accuracy of MRI for neurodegenerative parkinsonismNL-OMON54005Academisch Medisch Centrum180
招募中
不适用
Machine learning analysis of magnetic resonance images of placenta accreta spectrumPlacenta accreta spectrumJPRN-UMIN000046591Tohoku University Hospital220
招募中
1 期
Multi-modal MRI and artificial intelligence to explore the brain-gut interaction of functional constipation and the clinical study of integrated traditional Chinese and western medicine treatmentfunctional constipationITMCTR2100005047Jiangsu Provincial Hospital of TCM
进行中(未招募)
不适用
To determine the diagnostic accuracy of MRI in detecting lymph node metastases using USPIO (Ultra small super-paramagnetic iron oxide particles) in patients with gynecological malignancyEUCTR2004-002053-31-GBHammersmith Hospital100
已完成
不适用
MRI for MMN and CIDP - Towards improved diagnostic accuracy and dissection of pathophysiology.NL-OMON48985niversitair Medisch Centrum Utrecht190
