NCT07397000招募中不适用
Development of AI-Based Approaches for Automated Real-Time Detection of Surgical Smoke Using Endoscopic Image and Video Data
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 30
- 试验地点
- 1
- 主要终点
- Detection of surgical smoke gas
研究概览
简要总结
The goal of this observational, prospective monocentric pilot study is to generate a pilot dataset to train a computer-assisted model for automatic, intraoperative detection of surgical smoke gas.
Women with indications for laparoscopic evaluation requiring the use of HF surgery (expecting the formation of smoke gas) and a smoke evacuation system (Karl Storz S-Pilot) are employed.
详细描述
Detection of surgical smoke gas with an accuracy F1 score of >= 0.8 on test datasets. The activation of the S-Pilot by clinic personnel will be used as the gold standard.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •- Age ≥ 18 years
- •Written consent after receiving information
- •Indication for surgical treatment using HF surgery
排除标准
- •- Expected lack of compliance by the patient or inability of the patient to understand the meaning and purpose of the clinical trial
- •Lack of patient consent
- •S-Pilot cannot be used
结局指标
主要结局
Detection of surgical smoke gas
时间窗: At the end of the study (9 months)
Detection of surgical smoke gas with an accuracy of an F1 score of ≥ 0.8 on test data sets.
次要结局
未报告次要终点
研究者
研究点 (1)
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