Generalized Robotic Skills Assessment Using Machine Learning-Based Analysis Across Multiple Surgical Specialties
试验速览
- 阶段
- 不适用
- 状态
- Enrolling By Invitation
- 入组人数
- 1,000
- 试验地点
- 13
- 主要终点
- Correlation of Automated Performance Metrics to surgeon experience
研究概览
简要总结
The purpose of this study is to develop new tools to understand surgeon performance to improve surgical training and participant outcomes after surgery.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Surgeons who perform robotic surgery for candidate procedures
- •Surgeons who perform candidate procedures that are frequently performed by at least three surgeons (to ensure the ability to make adequate comparisons)
- •Surgeons who agree to participate in the study
排除标准
- •Surgeons who decline to participate in the study
研究组 & 干预措施
Robotic surgeons
Participants will be robotic surgeons in urologic, gynecologic, colorectal, hepatobiliary, gastric, and thoracic surgery
干预措施: Robotic Surgery (Procedure)
结局指标
主要结局
Correlation of Automated Performance Metrics to surgeon experience
时间窗: Up to 2 years
For the primary objective, we will capture Automated Performance Metrics/APMs and will determine the association between these and other metrics and surgeon experience, which will be used to construct validation. APMs that will be used in the study: Time Metrics Camera Metrics Instrument Metrics System Metrics Articulation Metrics
次要结局
未报告次要终点
