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临床试验/NCT06037837
NCT06037837Enrolling By Invitation不适用

Generalized Robotic Skills Assessment Using Machine Learning-Based Analysis Across Multiple Surgical Specialties

Memorial Sloan Kettering Cancer Center13 个研究点 分布在 1 个国家目标入组 1,000 人开始时间: 2023年8月24日最近更新:
适应症
干预措施

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

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

研究者

申办方类型
Other
责任方
Sponsor

研究点 (13)

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