Prospective Observational Cohort Study on the Construction of Standardized Video Datasets for Multicenter, Multidisciplinary Minimally Invasive Laparoscopic and Robotic Surgery and Their Application in the Development of Surgical AI Large Models
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 2,000
- 试验地点
- 1
- 主要终点
- Completion rate of qualified intraoperative surgical imaging data
研究概览
简要总结
This is a prospective multicenter patient registry study. We continuously collect full-length intraoperative surgical videos from thoracoscope, laparoscope, hysteroscope, transcervical resectoscope, cystoscope, prostate resectoscope, arthroscope, intervertebral foramen endoscope, otorhinolaryngology endoscope and endoscopic surgical robots, accompanied by inpatient medical records, preoperative imaging data and 5-year postoperative follow-up data. All imaging data will be standardized and de-identified to construct a large-scale standardized surgical video dataset. The dataset will be applied for training, verification and optimization of surgical video foundation large model, serving for surgical teaching, intraoperative operation quality control and basic medical AI research. We will also explore the correlation between intraoperative surgical details and postoperative prognosis to improve the standard specifications of minimally invasive surgery. No clinical intervention will be imposed on participants throughout the whole research.
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 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients aged ≥ 18 years old hospitalized to receive minimally invasive endoscopic, laparoscopic or robotic surgical treatment for diseases of various body systems;
- •Complete full-length intraoperative surgical videos can be recorded during operation, with complete medical records and preoperative imaging data;
- •Participants fully understand the study, voluntarily sign written informed consent, and agree that their de-identified intraoperative images and clinical data can be used for scientific research.
排除标准
- •Minors under 18 years of age;
- •Patients with incomplete intraoperative videos or missing clinical imaging documents;
- •Patients with consciousness disturbance or mental disorders who cannot sign informed consent independently;
- •Subjects who refuse to participate in the study and disapprove the use of their medical data for research;
- •Patients who are predicted to be unavailable for long-term postoperative follow-up.
结局指标
主要结局
Completion rate of qualified intraoperative surgical imaging data
时间窗: Immediately after each surgery
次要结局
- Completeness rate of long-term postoperative clinical follow-up(3 months, 1 year, 3 years and 5 years after surgery)
- Reusability rate of annotated key anatomical structures in videos(From completion of data warehousing and annotation, the reusability rate will be analyzed within 3 months, assessed up to 3 months after annotation completion.)
- Feasibility rate (%) of surgical video dataset applied in different clinical AI research scenarios(After full construction of the surgical video dataset, scenario feasibility assessment will be finished within 6 months, assessed up to 6 months after dataset construction.)
- Accuracy percentage (%) of AI-based surgical procedure identification on annotated surgical videos(After completion of data warehousing and annotation, AI surgical procedure identification accuracy testing will be conducted within 3 months, assessed up to 3 months post annotation completion.)
研究者
Zeyu Zhang, PHD
Professor
Chinese Academy of Sciences