Surgical NeoplasmsVISIONNCT07752862
Prospective Collection and Registry Study of Multicenter, Multidisciplinary Surgical Minimally Invasive Videos
An observational study of Surgical Neoplasms and Abdominal Surgical Diseases, run by Chinese Academy of Sciences at 1 site in China.
Trial summary
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… Read more about this study
- Who is it for?
- Ages 18 to 65 years
- Conditions the study is for
- Surgical Neoplasms, Abdominal Surgical Diseases, Pelvic Surgical Diseases
- How many people
- 2,000 participants
- Where
- 1 siteChina
- Study dates
- 1 Aug 2026to 31 Jul 2032
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: This prospective multicenter observational cohort study will enroll a total of 2,000 inpatients undergoing minimally invasive endoscopic, laparoscopic, or robotic surgery across multiple departments and participating medical centers.
Who may be able to join
- 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.
Who cannot join
- 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.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
About this study
Official title: 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
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.
- Conditions
- Surgical Neoplasms, Abdominal Surgical Diseases, Pelvic Surgical Diseases, Urologic Surgical Diseases, Musculoskeletal Surgical Diseases, Head and Neck Surgical Diseases
- Keywords
- Minimally invasive surgery, Surgical video dataset, Surgical artificial intelligence, Endoscopic surgery, Robotic surgery
What is being measured
The primary outcome is the main question the study is designed to answer.
Completion rate of qualified intraoperative surgical imaging data
Measured: Immediately after each surgery
Secondary outcomes (4)
Completeness rate of long-term postoperative clinical follow-up
Measured: 3 months, 1 year, 3 years and 5 years after surgery
Reusability rate of annotated key anatomical structures in videos
Measured: 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
Three core application scenarios are predefined: 1) training of surgical computer vision AI models; 2) validation of intraoperative surgical recognition algorithms; 3) surgical skill assessment and teaching research.
An expert review panel consisting of at least 3 attending surgeons and 2 medical AI researchers independently evaluates whether the dataset has sufficient sample size, annotation completeness and video quality to support each scenario.
Feasibility proportion is calculated as: (Number of scenarios the dataset is suitable for / Total predefined scenarios) × 100%.
Measured: 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 all surgical videos are imported into the data warehouse and manually annotated by experienced surgeons to generate gold-standard procedure labels, the surgical video analysis AI model automatically outputs predicted surgical procedure categories for each video clip.
Each AI-predicted label is compared against the manual gold-standard annotation label.
Identification accuracy is calculated by the formula: (Number of video clips with correctly predicted surgical procedures / Total number of tested video clips) × 100%.
Measured: 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.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted7 Aug 2026
- Study start1 Aug 2026 (estimated)
- Primary completion31 Jul 2031 (estimated)
- Study completion31 Jul 2032 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Surgical NeoplasmsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 2,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Chinese Academy of Sciences
- Sponsor type
- Other government
- Collaborators
- Beihang University, Beijing Digital Precision Medicine Technology Co., Ltd.
- Responsible party
- Principal investigator, Zeyu Zhang, PHD, Chinese Academy of Sciences
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07752862
- Sponsor's protocol ID
- VISION
- Acronym
- VISION
- Status last verified
- Jul 2026
- First submitted
- 31 Jul 2026
- Last updated
- 7 Aug 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 7 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT07752862
- Acronym / sponsor ID
- VISION / VISION
- Conditions
- Surgical Neoplasms, Abdominal Surgical Diseases, Pelvic Surgical Diseases, Urologic Surgical Diseases, Musculoskeletal Surgical Diseases, Head and Neck Surgical Diseases
- Keywords
- Minimally invasive surgery, Surgical video dataset, Surgical artificial intelligence, Endoscopic surgery, Robotic surgery
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 2,000 participants (estimated)
- Lead sponsor
- Chinese Academy of SciencesOther government
- Collaborators
- Beihang University, Beijing Digital Precision Medicine Technology Co., Ltd.
- Study start
- 1 Aug 2026 (estimated)
- Primary completion
- 31 Jul 2031 (estimated)
- Study completion
- 31 Jul 2032 (estimated)
- First posted
- 7 Aug 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- This prospective multicenter observational cohort study will enroll a total of 2,000 inpatients undergoing minimally invasive endoscopic, laparoscopic, or robotic surgery across multiple departments and participating medical centers.
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (5 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Completion rate of qualified intraoperative surgical imaging data
Time frame: Immediately after each surgery
4 secondary outcomes
Completeness rate of long-term postoperative clinical follow-up
Time frame: 3 months, 1 year, 3 years and 5 years after surgery
Reusability rate of annotated key anatomical structures in videos
Time frame: 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
Time frame: 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
Time frame: 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.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 Aug 2026.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Surgical Neoplasms and Abdominal Surgical Diseases, run by Chinese Academy of Sciences at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 7 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact KUNSHAN HE (+86 18500535530, hekunshan@buaa.edu.cn), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Completion rate of qualified intraoperative surgical imaging data (time frame: Immediately after each surgery). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 Aug 2026.