Skip to content

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

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

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06172062
Enrollment
400
Registered
2023-12-15
Start date
2023-07-20
Completion date
2024-03-30
Last updated
2023-12-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Laparoscopic Pancreaticoduodenectomy

Keywords

laparoscopic pancreaticoduodenectomy, surgical videos, artificial intelligence

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.

Interventions

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

Sponsors

Xinrui Zhu,MD
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
performance of artifical intelligence algorithmthrough study completion, an average of 1 monthtest the performance of the algorithm , including accuracy

Countries

China

Contacts

Primary ContactHe Cai, MD.
813021545@qq.com+862862539242

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026