Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …

Background Colonoscopy reduces the incidence of colorectal cancer (CRC) by allowing
detection and resection of neoplastic polyps. Evidence shows that many small polyps are …

Background and Aims Artificial intelligence (AI)–assisted polyp detection systems for
colonoscopic use are currently attracting attention because they may reduce the possibility …

Background Artificial intelligence (AI) is used to solve the problem of missed diagnosis of
polyps in colonoscopy, which has been proved to improve the detection rate of adenomas …

Objectives: Multiple meta-analyses which investigated the comparative efficacy and safety of
artificial intelligence (AI)-aid colonoscopy (AIC) vs. conventional colonoscopy (CC) in the …

Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and the second
leading cause of cancer relateddeath in the world [1]. CRC develops from precancerous …

Colorectal cancer (CRC) is the third most common cancer in the world. Colonoscopy has
contributed significantly to reduction of incidence and mortality of CRC. Integration of …

Background Artificial intelligence (AI) research in colonoscopy is progressing rapidly but
widespread clinical implementation is not yet a reality. We aimed to identify the top …

With the advances in endoscopic technologies and artificial intelligence, a large number of
endoscopic imaging datasets have been made public to researchers around the world. This …

Background: In the past, image-based computer-assisted diagnosis and detection systems
have been driven mainly from the field of radiology, and more specifically mammography …