Actively Recruiting

Phase Not Applicable
Age: 40Years - 80Years
All Genders
Healthy Volunteers
ID05990218

Efficacy of Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Operators with Different Endoscopic Experience: a Randomized Control Trial

Led by Department of Medical Services Ministry of Public Health of Thailand · Updated on 2024-12-13

240

Participants Needed

1

Research Sites

2 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Researchers are assessing how well artificial intelligence (AI) can help detect polyps on the right side of the colon during colonoscopy. The study focuses on comparing the effectiveness of AI-assisted detection with traditional methods when performed by endoscopists with different levels of experience. This trial aims to improve polyp detection rates, especially since polyps can be missed on the right side of the colon. Participants undergo colonoscopy with double insertion of the right-sided colon under white light. Four groups are compared: experienced endoscopists using AI, beginner endoscopists using AI, experienced endoscopists without AI (control), and beginner endoscopists without AI (control). The AI system, called CADe, assists in polyp detection during the second endoscopic withdrawal. During the study, researchers measure how often polyps are detected during the procedure and identify the types of polyps found. Participants will be monitored throughout the procedure to assess outcomes. The study includes adults aged 40 to 80 years and involves random assignment to one of the four groups to compare the role of AI and experience in detecting right-sided colonic polyps.

CONDITIONS

Brief Title

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

Who Can Participate

Age: 40Years - 80Years
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Participants aged 40 to 80 years
Not Eligible

You will not qualify if you...

  • History of colonic surgery (except appendectomy)
  • Lower gastrointestinal bleeding
  • Unstable vital signs during endoscopy or pregnancy
  • History of inflammatory bowel disease, polyposis syndrome, colon cancer, colonic stricture, abnormal coagulation, or organ failure

AI-Screening

AI-Powered Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

Diagnostic Evaluation

Duration - 1 day

Participants undergo colonoscopy with double insertion of the right sided colon under either conventional white light or AI assistance to detect polyps.

1 procedure visit (in-person)

Trial Site Locations

Total: 1 location

1

Rajavithi Hospital

Bangkok, Bangkok, Thailand

Actively Recruiting

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How is the study designed?

Study Type

INTERVENTIONAL

Masking

SINGLE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

SCREENING

Number of Arms

4

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Published Research Related To This Trial

Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial.

Shunsuke Kamba, Naoto Tamai, Iduru Saitoh...

https://pubmed.ncbi.nlm.nih.gov/34218329