JPRN-UMIN000044894招募中未知
Creation of a deep learning model to predict hypotension after induction of general anesthesia using a biometric screen during awakening - A prospective observational study - Creation of a deep learning model to predict hypotension after induction of general anesthesia using a biometric screen during awakening - A prospective observational study
适应症
试验速览
- 阶段
- 未知
- 状态
- 招募中
- 入组人数
- 100
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
- 20years-old 至 80years-old（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •Patients who have been sedated prior to induction of general anesthesia. Patients undergoing tracheal intubation prior to induction of general anesthesia. Patients with contraindications to propofol or remimazolam. Patients who did not give their consent to participate in the study. Patients with aortic aneurysms or cerebral aneurysms that require management to prevent excessive blood pressure fluctuations.
研究者
相似试验
尚未招募
Unknown
Developing predictive models using machine learning techniques to assess the risk factors influencing post operative Peak expiratory flow rate following upper abdominal surgery.CTRI/2024/06/068341Dr Lairenjam Deepa Devi
招募中
Unknown
Development of Machine Learning Models to Predict Delirium After On-Pump Cardiac Surgery Based on Preoperative and Intraoperative IndicesCardiovascular surgeryJPRN-UMIN000049390Osaka University300
尚未招募
不适用
sing artificial intelligence (AI) (Deep Learning) to create an AI Model for automating assessment Of vertebral pathologies by quantifying the signal drop on in and out-phase component of Chemical Shift Imaging (CSI) sequence on MRI spineCTRI/2022/07/044330Dr DY Patil Hospital College and Research Center Pune
招募中
不适用
Predictors of Hand Foot skin rash in patients with sorafebibCTRI/2017/10/009959Terry Fox Tata Memorial Centre
招募中
Unknown
Development of prognostic model for predicting the effect of treatment and survival for elderly patients with gastric cancer using tools of comprehensive geriatric assessment : single center prospective observational studyNeoplasmsKCT0008586Asan Medical Center200