Prospective Collection and Registry Study of Multicenter, Multidisciplinary Surgical Minimally Invasive Videos (VISION)
5 de agosto de 2026 actualizado por: Zeyu Zhang, PHD, Chinese Academy of Sciences
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.
Descripción general del estudio
Estado
Aún no reclutando
Tipo de estudio
De observación
Inscripción (Estimado)
2000
Contactos y Ubicaciones
Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.
Estudio Contacto
- Nombre: KUNSHAN HE
- Número de teléfono: +86 18500535530
- Correo electrónico: hekunshan@buaa.edu.cn
Ubicaciones de estudio
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Beijing, Porcelana
- Institute of Automation, Chinese Academy of Sciences
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Criterios de participación
Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.
Criterio de elegibilidad
Edades elegibles para estudiar
- Adulto
- Adulto Mayor
Acepta Voluntarios Saludables
No
Método de muestreo
Muestra no probabilística
Población de estudio
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.
Descripción
Inclusion Criteria:
- 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.
Exclusion Criteria:
- 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.
Plan de estudios
Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.
¿Cómo está diseñado el estudio?
Detalles de diseño
¿Qué mide el estudio?
Medidas de resultado primarias
Medida de resultado |
Periodo de tiempo |
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Completion rate of qualified intraoperative surgical imaging data
Periodo de tiempo: Immediately after each surgery
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Immediately after each surgery
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Medidas de resultado secundarias
Medida de resultado |
Medida Descripción |
Periodo de tiempo |
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Completeness rate of long-term postoperative clinical follow-up
Periodo de tiempo: 3 months, 1 year, 3 years and 5 years after surgery
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3 months, 1 year, 3 years and 5 years after surgery
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Reusability rate of annotated key anatomical structures in videos
Periodo de tiempo: From completion of data warehousing and annotation, the reusability rate will be analyzed within 3 months, assessed up to 3 months after annotation completion.
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From completion of data warehousing and annotation, the reusability rate will be analyzed within 3 months, assessed up to 3 months after annotation completion.
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Feasibility rate (%) of surgical video dataset applied in different clinical AI research scenarios
Periodo de tiempo: 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.
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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%. |
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.
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Accuracy percentage (%) of AI-based surgical procedure identification on annotated surgical videos
Periodo de tiempo: 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.
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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%. |
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.
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Colaboradores e Investigadores
Aquí es donde encontrará personas y organizaciones involucradas en este estudio.
Patrocinador
Fechas de registro del estudio
Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.
Fechas importantes del estudio
Inicio del estudio (Estimado)
1 de agosto de 2026
Finalización primaria (Estimado)
31 de julio de 2031
Finalización del estudio (Estimado)
31 de julio de 2032
Fechas de registro del estudio
Enviado por primera vez
31 de julio de 2026
Primero enviado que cumplió con los criterios de control de calidad
5 de agosto de 2026
Publicado por primera vez (Actual)
7 de agosto de 2026
Actualizaciones de registros de estudio
Última actualización publicada (Actual)
7 de agosto de 2026
Última actualización enviada que cumplió con los criterios de control de calidad
5 de agosto de 2026
Última verificación
1 de julio de 2026
Más información
Términos relacionados con este estudio
Palabras clave
Otros números de identificación del estudio
- VISION
Información sobre medicamentos y dispositivos, documentos del estudio
Estudia un producto farmacéutico regulado por la FDA de EE. UU.
No
Estudia un producto de dispositivo regulado por la FDA de EE. UU.
No
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