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Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Different Operator Experience

NCT05990218 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 240

Last updated 2024-12-13

No results posted yet for this study

Summary

Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.

Conditions

  • Colon Polyp

Interventions

DEVICE

Artificial intellegence. CADe syste,

The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.

DEVICE

control

The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.

Sponsors & Collaborators

  • Department of Medical Services Ministry of Public Health of Thailand

    lead OTHER_GOV

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
40 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-02-13
Primary Completion
2026-02-12
Completion
2026-02-28

Countries

  • Thailand

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05990218 on ClinicalTrials.gov