Artificial Intelligence in Colonoscopy

NARecruitingINTERVENTIONAL
Enrollment

630

Participants

Timeline

Start Date

November 1, 2024

Primary Completion Date

October 31, 2025

Study Completion Date

December 31, 2025

Conditions
Quality Indicators, Health CareArtificial Intelligence (AI)Colonoscopy Diagnostic Techniques and Procedures
Interventions
DEVICE

Computer-aided detection (CADe)

Endo-Aid CADe system is an AI-assisted computer-aided lesion detection application on ENDO-AID hardware. It uses a complex algorithm created via a neural network developed and taught by Olympus. With this new app, the sophisticated machine learning system can alert the endoscopist in real-time when a suspicious lesion appears on the screen. The image from the vision processor is transferred to the CADe device. The computer application recognizes the shape of the polyps and marks their place on the monitor screen.

Trial Locations (2)

31061

RECRUITING

Brothers Hospitallers Medical Center, Hospital of St John of god in Krakow, Krakow

31559

RECRUITING

MEDICINA Medical Center, Krakow

All Listed Sponsors
lead

Jagiellonian University

OTHER