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NCT06172062

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

Status unknown Last updated 15 December 2023
What this trial tests

trial testing laparoscopic pancreaticoduodenectomy in Laparoscopic Pancreaticoduodenectomy in 400 participants. Status unknown.

Timeline
20 July 2023
Primary endpoint
30 December 2023
30 March 2024

Quick facts

Lead sponsorXinrui Zhu,MD
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment400
Start date20 July 2023
Primary completion30 December 2023
Estimated completion30 March 2024
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Xinrui Zhu,MD — full company profile →

Who can join

Eligibility, any sex, with Laparoscopic Pancreaticoduodenectomy. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other trials of laparoscopic pancreaticoduodenectomy

Trials testing the same drug.

Other Xinrui Zhu,MD trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06172062.

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