NCT06172062

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

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 400 (estimated)
• Sponsor: Xinrui Zhu，MD · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

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

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

Timeline

• Start date: 2023-07-20
• Primary completion: 2023-12-30
• Completion: 2024-03-30
• First posted: 2023-12-15
• Last updated: 2023-12-15

Locations

1 site across 1 country: China