Colonic Polyp Size Measurement With Artificial Intelligence
NCT ID: NCT06073405
Last Updated: 2024-10-29
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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COMPLETED
225 participants
OBSERVATIONAL
2023-01-01
2024-09-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Colonic Polyp Measurement Assessment Via Artificial Intelligence
In this study, we collect colonoscopy video clips of polyps and, among the related clinical information, their estimated size using the gold standard technique, and we use them offline to evaluate the measurement performances of the novel virtual polyp sizing tool
Eligibility Criteria
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Inclusion Criteria
* Ability to provide written, informed consent (approved by EC) and understand the responsibilities of trial participation.
Exclusion Criteria
* Patients who perform an emergency colonoscopy.
18 Years
ALL
No
Sponsors
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University of Roma La Sapienza
OTHER
Responsible Party
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Giulio Antonelli
Principal Investigator
Locations
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Ospedale dei Castelli
Ariccia, Rome, Italy
Countries
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Other Identifiers
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METER
Identifier Type: -
Identifier Source: org_study_id
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