CTRI/2021/05/033323尚未招募未知
Prediction of difficult airway management cases using machine learning and image processing techniques.
Dr Sripada Mehandale0 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
- 未知
- 状态
- 尚未招募
- 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
- •Adult patients undergoing general anaesthesia for elective surgical procedure
排除标准
- 未提供
研究者
相似试验
招募中
不适用
Retrospective study about difficult airway management of awake craniotomyBrain tumor, epilepsyJPRN-UMIN000017971Department of Anesthesiology, Sapporo Medical University School of Medicine200
已完成
不适用
Comparison of windpipe characteristics by ultrasound versus conventional measurements of neck, to predict ease of putting tube in windpipe for ventilator purpose.CTRI/2018/02/011745Fortis Hospital400
尚未招募
不适用
Study to assess difficulty in securing an airway by measuring distances in neck, before surgeryCTRI/2019/08/020603Government of Gujarat
已完成
不适用
A find out if there is difficulty in putting the tube in the wind pipe in children before surgery.CTRI/2019/05/019014PGIMER
Unknown
不适用
Establishment of Airway Database for Surgical PatientsDifficult AirwayArtificial IntelligenceNCT03125837Second Affiliated Hospital, School of Medicine, Zhejiang University50,000
