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Clinical Trials/NCT06172062
NCT06172062RecruitingNot Applicable

Establishment and Application of an Artificial Intelligence Algorithm for Automatic Identification of Intraoperative Bleeding During Laparoscopic Pancreaticoduodenectomy

Xinrui Zhu,MD1 site in 1 country400 target enrollmentStarted: July 20, 2023Last updated:
Conditions

Trial Snapshot

Phase
Not Applicable
Status
Recruiting
Sponsor
Enrollment
400
Locations
1
Primary Endpoint
performance of artifical intelligence algorithm

Study Overview

Brief Summary

Surgeons will label surgical videos of laparoscopic pancreaticoduodenectomy with bleeding information from multicenter. The labeled surgical video will be used as training material to train the algorithmic model so as to build an artificial intelligence algorithm that can automatically identify intraoperative bleeding in this surgery. Then, we will test the performance capability of the algorithm.

Study Design

Study Type
Observational
Observational Model
Cohort
Time Perspective
Retrospective

Eligibility Criteria

Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • •surgical videos that recorded complete laparoscopic pancreaticoduodenectomy including resection and reconstruction phases.

Exclusion Criteria

  • •1.surgical videos that recorded laparoscopic pancreaticoduodenectomy combined with resection and reconstruction of mesentericoportal vein.

Outcomes

Primary Outcomes

performance of artifical intelligence algorithm

Time Frame: through study completion, an average of 1 month

test the performance of the algorithm , including accuracy

Secondary Outcomes

No secondary outcomes reported

Investigators

Sponsor
Xinrui Zhu,MD
Sponsor Class
Other
Responsible Party
Sponsor Investigator
Principal Investigator

Xinrui Zhu,MD

attending doctor

West China Hospital

Study Sites (1)

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