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Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies

Artificial Intelligence

This is a pragmatic, double-blind, randomized, controlled trial, to evaluate the effect of implementing a Computer-assisted detection (CADe) system within the routine clinical practice of Canadian healthcare institutions.

The main hypothesis of this study is that the ADR in the operating room equipped with the GI genius CADe system will be significantly higher than the ADR in the ordinary operating room.

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Conditions de participation

  • Sexe:

    ALL

  • Âges admissibles:

    45 to 89

Critères de participation

Inclusion Criteria:

* indication of undergoing a screening, surveillance, or diagnostic colonoscopy
* Age 45-89 years

Exclusion Criteria:

* Patients undergoing emergency colonoscopy
* Patients with a known familial polyposis syndrome or a known inflammatory bowel disease

Lieu de l'étude

Centre Hospitalier Universitaire de Montréal
Centre Hospitalier Universitaire de Montréal
Montréal, Quebec
Canada

Contactez l'équipe d'étude

Primary Contact

Julie Fleury

[email protected]
514-890-8000
Backup Contact

Daniel von Renteln, MD

Centre Hospitalier Universitaire de Montréal
Centre Hospitalier Universitaire de Montréal
Montreal, Quebec
Canada

Contactez l'équipe d'étude

Primary Contact

Samira Hanin

[email protected]
514-890-8000
Étude parrainée par
Centre hospitalier de l'Université de Montréal (CHUM)
Participants recherchés
Plus d'informations
ID de l'étude: NCT05244278