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.
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.
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;
Chinese Academy of Sciences
Lead sponsor
Beihang University
Collaborator
Beijing Digital Precision Medicine Technology Co., Ltd.
Collaborator