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

N/AUnknownNCT06172062

Xinrui Zhu，MD400 enrolled

Overview

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 Type

OBSERVATIONAL

Enrollment

400

Conditions

Laparoscopic Pancreaticoduodenectomy

Interventions

laparoscopic pancreaticoduodenectomyOTHER

we recorded the surgical videos of laparoscopic pancreaticoduodenectomy, and labeled the information in the video to build and test the algorithms.

Eligibility

Sex: ALL

Medical Language ↔ Plain English

Inclusion Criteria: 1\. 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.

Locations (1)

West China Hospital of Sichuan University

Chengdu, Sichuan, China

RECRUITING

Outcomes

Primary Outcomes

performance of artifical intelligence algorithm

test the performance of the algorithm , including accuracy

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

Central Contacts

He Cai, MD.

CONTACT

+862862539242 813021545@qq.com

Data from ClinicalTrials.gov

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