Artificial intelligence (AI)–assisted polyp detection systems for colonoscopic use are currently attracting attention because they may reduce the possibility of missed adenomas. However, few systems have the necessary regulatory approval for use in clinical practice. We aimed to develop an AI-assisted polyp detection system and to validate its performance using a large colonoscopy video database designed to be publicly accessible.

Large language models for detecting colorectal polyps in endoscopic images

Carlini, Luca;Lena, Chiara;De Momi, Elena;
2025-01-01

Abstract

Artificial intelligence (AI)–assisted polyp detection systems for colonoscopic use are currently attracting attention because they may reduce the possibility of missed adenomas. However, few systems have the necessary regulatory approval for use in clinical practice. We aimed to develop an AI-assisted polyp detection system and to validate its performance using a large colonoscopy video database designed to be publicly accessible.
2025
GUT
AI (Artificial Intelligence)
COLONIC POLYPS
COLONOSCOPY
COLORECTAL CANCER
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1291245
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