Clinical vAliDation of ARTificial Intelligence in POlyp Detection

NACompletedINTERVENTIONAL
Enrollment

856

Participants

Timeline

Start Date

October 13, 2020

Primary Completion Date

October 28, 2022

Study Completion Date

November 29, 2022

Conditions
Polyp of Colon
Interventions
DEVICE

artificial intelligence image processing

Patients will undergo a standard colonoscopy performed by a trained endoscopist. A second observer, who is not a trained endoscopist, will follow the procedure on a bedside AI-tool to count the number of detections made by the AI system and categorize the results into positive or negative results as follows (1) true positive, (2) false negative or (3) false positive.

Trial Locations (1)

3000

University Hospitals Leuven, Leuven

All Listed Sponsors
collaborator

Nuovo Regina Margherita Hospital, Rome, Italy

UNKNOWN

collaborator

Krankenhaus Barmherzige Brüder, Regensburg, Germany

UNKNOWN

collaborator

Centre Hospitalier Universitaire de Nantes, Nantes, France

UNKNOWN

collaborator

Centrum Onkologii-Instytut im. Marii Skłodowskiej-Curie, Warschau, Poland

UNKNOWN

collaborator

Spire Portsmouth Hospital, Portsmouth, United Kingdom

UNKNOWN

collaborator

University Medical Center, Amsterdam, The Netherlands

UNKNOWN

collaborator

University Hospitals Ghent, Ghent, Belgium

UNKNOWN

lead

Universitaire Ziekenhuizen KU Leuven

OTHER

NCT04442607 - Clinical vAliDation of ARTificial Intelligence in POlyp Detection | Biotech Hunter | Biotech Hunter