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Prospective Evalulation of Artificial Intelligence-assisted Monitoring of Effective Withdrawal Time Versus Standard Withdrawal Time on Adenoma Detected Per Colonoscopy

NCT06345105 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 198

Last updated 2025-06-11

No results posted yet for this study

Summary

The goal of this observational study is to assess the correlation between the artificial intelligence (AI) derived effective withdrawal time (EWT) during colonoscopy and endoscopists' adenoma per colonoscopy (APC), polyp per colonoscopy(PPC), adenoma detection rate (ADR), polyp detection rate (PDR) and during colonoscopy for each endoscopists. The association between the AI derived EWT with all colonoscopy outcomes during the prospective colonoscopy series would also be determined. The colonoscopy video of participants will be monitored by the AI. The result will be compared with standard withdrawal time (SWT).

Conditions

  • Colon Polyp
  • Colon Adenoma
  • Artificial Intelligence

Interventions

DEVICE

Endoscreener QC

Artificial intelligence monitoring of effective withdrawal time

Sponsors & Collaborators

  • The University of Hong Kong

    lead OTHER

Principal Investigators

  • Thomas Ka-Luen Lui · The University of Hong Kong

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-11-01
Primary Completion
2024-09-30
Completion
2025-01-31

Countries

  • Hong Kong

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 NCT06345105 on ClinicalTrials.gov