JPRN-UMIN000052233尚未招募Unknown
Development of an Artificial Intelligence Model for Mask Ventilation Difficulty/Intubation Difficulty Classification Using Deep Learning with Patient Facial Images - Development of an Artificial Intelligence Model for Mask Ventilation Difficulty/Intubation Difficulty Classification Using Deep Learning with Patient Facial Images
Yamagata Universal Faculty of Medcine0 个研究点目标入组 800 人开始时间: 2023年10月1日最近更新:
适应症
试验速览
- 阶段
- Unknown
- 状态
- 尚未招募
- 发起方
- 入组人数
- 800
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 99years-old（—）
- 性别
- All
入选标准
- 未提供
排除标准
- •Patients who cannot give consent Patients considered inappropriate by the anesthesiologist in the case Cardiac surgery cases Patients who cannot follow instructions Patients with limited mobility of the neck Patients whose facial appearance, mask ventilation, or intubation is affected by artifacts
研究者
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