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Video/Image Library of Endoscopy Procedures for the Development of AI-empowered Endoscopy Quality Reporting and Educational Modules

NCT06822816 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2025-02-18

No results posted yet for this study

Summary

The goal of this observational study is to establish a video/image library dataset of complete endoscopy or partial colonoscopy procedures for patients with rectal cancer or inflammatory bowel disease (IBD). With this video/image library, the aims are:

* to develop and validate novel AI-empowered solutions to automatically detect and report endoscopy quality metrics
* to develop automated endoscopy reporting solutions, auditing, and educational tools for residents and fellows to enhance their endoscopy skills.

The hypothesis is that a heterogeneous video/image library will provide:

* comprehensive and robust source material to develop AI models
* real-time quality feedback at the end of an endoscopy procedure.

Conditions

  • Polyp of Colon
  • Artificial Intelligence (AI)

Sponsors & Collaborators

  • Centre hospitalier de l'Université de Montréal (CHUM)

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-06-10
Primary Completion
2028-12-31
Completion
2028-12-31

Countries

  • Canada

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 NCT06822816 on ClinicalTrials.gov