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Artificial Intelligence in Colonoscopy
Sponsor: Jagiellonian University
Summary
Colorectal cancer is the second most common malignancy in the countries of the European Union. Colonoscopy is the primary method for detecting and preventing the development of colorectal cancer is endoscopic examination. This study aims to evaluate the impact of artificial intelligence on the detection rate of polyps and early stages of colorectal cancer.
Official title: Artificial Intelligence in Endoscopic Diagnosis of Colorectal Polyps: A Prospective Randomized Study.
Key Details
Gender
All
Age Range
50 Years - 65 Years
Study Type
INTERVENTIONAL
Enrollment
630
Start Date
2024-11-01
Completion Date
2025-12-31
Last Updated
2025-01-22
Healthy Volunteers
No
Conditions
Interventions
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.
Locations (2)
MEDICINA Medical Center
Krakow, Lesser Poladn, Poland
Brothers Hospitallers Medical Center, Hospital of St John of god in Krakow
Krakow, Lesser Polasd, Poland