The application of artificial intelligence in improving colonoscopic adenoma detection rate: Where are we and where are we going

Abstract

Colorectal cancer (CRC) is one of the common malignant tumors in the world. Colonoscopy is the crucial examination technique in CRC screening programs for the early detection of precursor lesions, and treatment of early colorectal cancer, which can reduce the morbidity and mortality of CRC significantly. However, pooled polyp miss rates during colonoscopic examination are as high as 22%. Artificial intelligence (AI) provides a promising way to improve the colonoscopic adenoma detection rate (ADR). It might assist endoscopists in avoiding missing polyps and offer an accurate optical diagnosis of suspected lesions. Herein, we described some of the milestone studies in using AI for colonoscopy, and the future application directions of AI in improving colonoscopic ADR.

Keywords: Adenoma detection rate; Artificial intelligence; Computer-aided diagnosis; Convolutional neural networks; Diagnóstico asistido por ordenador; Inteligencia artificial; Redes neuronales convolucionales; Tasa de detección de adenomas.