… Artificial intelligence (AI) may detect colorectal polyps that have been missed due to perceptual
… of colorectal neoplasia leading to a higher degree of colorectal cancer (CRC) prevention. …

… This study review focuses on a deep learning method for the detection of colorectal lesions
in colonoscopy and AI support for detecting colorectal neoplasia, especially in flat lesions. …

… for advanced colorectal neoplasia, including … colorectal cancer. Further prospective trials
should evaluate AI to detect subtle advanced neoplasia in higher risk populations for colorectal …

… It is well known that flat morphology is associated with miss rate of colorectal neoplasia, and
… Artificial intelligence (AI) applied to the detection of colorectal neoplasia has been shown to …

… artificial intelligence (AI) using deep-learning algorithms is one of the promising supportive
options for detection and characterization of colorectal … have shown improved colorectal polyp …

… showed no significant difference in advanced colorectal neoplasia detection rate (34.8% …
]) or the mean number of advanced colorectal neoplasias detected per colonoscopy (0.54 [SD, …

… Concerning polyp characterization, research teams at Hiroshima University in Japan
created novel CADx systems to predict neoplastic vs. non-neoplastic colorectal polyps with …

… were labeled as neoplastic (<1.01) and non-neoplastic (≥… was 0.86 for neoplastic lesions,
1.12 for non-neoplastic lesions, … that colorectal lesions could be differentiated into neoplastic …

… criteria to resolve these discrepancies and classify colorectal neoplasia into five types.
Category 1 and 2 tumors are negative for neoplasia/dysplasia. Category 3 includes low-grade …

… Studies analyzing artificial intelligence (AI) in colonoscopies have reported improvements
in detecting colorectal cancer (CRC) lesions, however its utility in the realworld remains limited…