Clinical trial · Observational
A Multicenter Prospective Observational Study of Computer-aided Risk Perception and Prognosis Prediction in the Whole Process of Laparoscopic Hepatobiliary and Pancreatic Surgery
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Artificial intelligence technology is used to realize high-quality 3D scene reconstruction, whole process segmentation, scene activity understanding for common surgery guidance in hepatobiliary surgery, as well as intelligent identification, perception, early warning of key events in the whole process of endoscopic surgery (such as bleeding, blocking, tumor location, anastomosis, etc.), and decision-making assistance
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Cholecystectomy, Laparoscopic | — | UNRESOLVED | — |
| Hepatectomy | — | UNRESOLVED | — |
| Hepatocellular Carcinomas | Hepatocellular Carcinoma | ONTOLOGY_EXACT | 0.98 |
| Pancreatoduodenectomy | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (1)
- label
- experimental group
- description
- Group according to the characteristics of different cases (for example), collect the basic information of all included patients and clinical case data, and make descriptive statistical analysis: the basic information of patients, operation methods, operation time, etc
Primary outcomes (2)
- measure
- Main effectiveness indicators
- timeFrame
- 1 year
- description
- The 1-year progression free survival rate of patients with malignant tumors were evaluated based on RECIST v1.1. The computer then predicts according to the complications, surgical videos, and pre -, intra -, and post-operative examinations, and compares them with the real situation
- measure
- Main effectiveness indicators
- timeFrame
- 1 years
- description
- The 1-year overall survival rate of patients with malignant tumors were evaluated. The computer then predicts according to the complications, surgical videos, and pre -, intra -, and post-operative examinations, and compares them with the real situation
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 80 Years
Show eligibility criteria text
Inclusion Criteria: * Voluntarily sign informed consent Patients who underwent hepatectomy and cholecystectomy and were followed up in the research center hospitals from July 2024 to December 2028 Complete case, imaging and operation video data Exclusion Criteria: * Patients who had other diseases before surgery, which may affect the results of the study Patients who developed postoperative complications but could not confirm their relevance to surgery According to the judgment of the researcher, it is not suitable to participate in this study
References
Publications (0)
Data not yet available