DRKS00029356招募中不适用
Automated Detection of spine fractures by a deep learning algorithm
BG Unfallkrankenhaus BerlinRadiologie/Neuroradiologie0 个研究点目标入组 1,071 人开始时间: 2022年6月29日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 1,071
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
- one 至 one（—）
- 性别
- All
入选标准
- •1. population: spinal fracture according to radiology report.
- •2. population: severe trauma, 09/2014-08/2016
排除标准
- •CT data used for training of algorithm, elective/non-Trauma CT scan
研究者
相似试验
Unknown
不适用
QOCA®-Image Medical Platform - Smart VCF Risk Management SystemCompression FractureNCT04384211Taipei Medical University WanFang Hospital1,500
已完成
不适用
To develop a scoring by ultrasound scan of spine (lower back) for predicting difficulty in spinal anaesthesia (injection in the lower back region)CTRI/2021/08/035787Mahatma Gandhi Medical College and research institute Sri Balaji deemed to be Vidyapeeth university341
招募中
不适用
Automatic Optical Identification of the Spine Vertebrate Using Three-dimensional Optical Detection Based on a CT TestSpinal Surgery of Vertebrae, Intervertebral Discs and the Spinal CordCT ScansNCT04914585Deep Health Ltd.200
尚未招募
不适用
Can artificial intelligence identify joint swellings from photographs of the hand in patients with inflammatory arthritis?CTRI/2020/08/027129KEM Hospital Research Centre
招募中
不适用
Establishment of diagnostic method of spinal cord function by MagnetoSpinoGraphy(MSG)spinal cord dysfunctionJPRN-UMIN000028931Tokyo Medical and Dental University500