Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Different Operator Experience
NCT ID: NCT05990218
Last Updated: 2024-12-13
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
NA
240 participants
INTERVENTIONAL
2023-02-13
2026-02-28
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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RANDOMIZED
PARALLEL
SCREENING
SINGLE
Study Groups
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control, experienced
Patients received colonoscopy with double insertion of right sided colon under white light by experienced endoscopist
control
The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.
control, beginner
Patients received colonoscopy with double insertion of right sided colon under white light by beginner endoscopist
control
The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.
AI, experience
Patients received colonoscopy with double insertion of right sided colon under AI by experienced endoscopist
Artificial intellegence. CADe syste,
The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.
AI, beginner
Patients received colonoscopy with double insertion of right sided colon under AI by beginner endoscopist
Artificial intellegence. CADe syste,
The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.
Interventions
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Artificial intellegence. CADe syste,
The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.
control
The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Lower gastrointestinal bleeding
* unstable vital sign during endoscopy of pregnancy
* history of inflammatory bowel disease, polyposis syndrome, colon cancer, colonic stricture, abnormal coaglulation, organ failure
40 Years
80 Years
ALL
Yes
Sponsors
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Department of Medical Services Ministry of Public Health of Thailand
OTHER_GOV
Responsible Party
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Locations
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Rajavithi Hospital
Bangkok, Bangkok, Thailand
Countries
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Facility Contacts
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Tanyaporn Chantarojanasiri, MD
Role: primary
Tanyaporn Chantarojanasiri, MD
Role: backup
References
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Kamba S, Tamai N, Saitoh I, Matsui H, Horiuchi H, Kobayashi M, Sakamoto T, Ego M, Fukuda A, Tonouchi A, Shimahara Y, Nishikawa M, Nishino H, Saito Y, Sumiyama K. Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial. J Gastroenterol. 2021 Aug;56(8):746-757. doi: 10.1007/s00535-021-01808-w. Epub 2021 Jul 3.
Other Identifiers
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031/2566
Identifier Type: -
Identifier Source: org_study_id