MedTrace Logo

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

NCT06172062 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2023-12-15

No results posted yet for this study

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.

Conditions

  • Laparoscopic Pancreaticoduodenectomy

Interventions

OTHER

laparoscopic pancreaticoduodenectomy

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

Sponsors & Collaborators

  • Xinrui Zhu，MD

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-07-20
Primary Completion
2023-12-30
Completion
2024-03-30

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06172062 on ClinicalTrials.gov