Establishment and Application of an Artificial Intelligence Algorithm for Automatic Identification of Intraoperative Bleeding During Laparoscopic Pancreaticoduodenectomy
NCT ID: NCT06172062
Last Updated: 2023-12-15
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
400 participants
OBSERVATIONAL
2023-07-20
2024-03-30
Brief Summary
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Detailed Description
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Conditions
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Keywords
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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LPD cohort
surgical videos of laparoscopic pancreaticoduodenectomy with label to build and test the algorithms.
laparoscopic pancreaticoduodenectomy
we recorded the surgical videos of laparoscopic pancreaticoduodenectomy, and labeled the information in the video to build and test the algorithms.
Interventions
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laparoscopic pancreaticoduodenectomy
we recorded the surgical videos of laparoscopic pancreaticoduodenectomy, and labeled the information in the video to build and test the algorithms.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
No
Sponsors
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Xinrui Zhu,MD
OTHER
Responsible Party
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Xinrui Zhu,MD
attending doctor
Locations
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West China Hospital of Sichuan University
Chengdu, Sichuan, China
Countries
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Central Contacts
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Facility Contacts
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He Cai, MD.
Role: primary
Other Identifiers
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2023-1663-2
Identifier Type: -
Identifier Source: org_study_id