Advances in the application of artificial intelligence-assisted colonoscopy for the diagnosis of early colorectal cancer and precancerous lesions

doi:10.11958/20253275

Abstract

Abstract:

Colonoscopy is the gold standard for the detecton and diagnosis of early colorectal cancer and precancerous lesions. However, its efficacy is affected by the characteristics of lesions and operator’s experience, and there is a certain rate of missed diagnoses. The rapid development of artificial intelligence (AI) technology has provided a new solution for improving objectivity, accuracy and uniformity of colonoscopy diagnosis. This article systematically reviews the application progress of AI in colonoscopy, focusing on the latest research achievements and clinical value in real-time detection and classification of colorectal polyps, identification of adenomas and serrated lesions, prediction of early cancer invasion depth, and quality control of the entire operation process. The aim is to provide a reference for the deep research and clinical standardized application of AI-assisted colonoscopy technology.

Key words: artificial intelligence, deep learning, colorectal neoplasms, colonoscopy, adenoma, precancerous conditions

CLC Number:

R735.35

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