CTRI/2024/07/070709招募中Unknown
External Validation of a Machine-Learning derived risk prediction model for Post Operative Pulmonary Complications
Dr. Aumkar Kishore Shah0 个研究点目标入组 0 人开始时间: 待定最近更新:
试验速览
- 阶段
- Unknown
- 状态
- 招募中
- 发起方
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
- •Undergoing major (duration more than 2hours) abdominal surgery
- •Elective or Emergency
排除标准
- •Post-partum up to 6 weeks
- •Moribund patients not expected to survive more than 48 hours
研究者
相似试验
招募中
不适用
The external validation of a prediction model for anatomical cystocele recurrence after primary anterior colporrhaphyPelvic Organ ProlapseRecurrencePrediction modelExternal validationNL-OMON25627Maastricht University Medical Centre250
已完成
不适用
The external validation of a prediction model for anatomical cystocele recurrence after primary anterior colporrhaphyblaasverzakkingpelvic floor dysfunctionpelvic organ prolapse10018188NL-OMON55841Maastricht Universitair Medisch Centrum260
进行中（未招募）
Unknown
Testing an artificial intelligence tool for childhood fracture detection on X-raysAcute fractures in otherwise healthy children (i.e. no underlying skeletal dysplasia, metabolic bone disease)Musculoskeletal DiseasesISRCTN12921105Great Ormond Street Hospital for Children NHS Foundation Trust40
已完成
不适用
External Validation of a Deep Learning Based Model for Pulmonary Embolism Detection on Chest CT ScansPulmonary EmbolismNCT05333042OncoRadiomics5,000
招募中
Unknown
Validation of a screening algorithm for exluding sleep apnea.NL-OMON25354Medical Spectrum Twente, Enschede, The Netherlands.200