Background and Aims Artificial intelligence (AI) is being implemented in colonoscopy
practice, but no study has investigated whether AI is cost saving. We aimed to quantify the …

Background & Aims Artificial Intelligence (AI) could support cost-saving strategies for
colonoscopy because of its accuracy in the optical diagnosis of colorectal polyps. However …

Background and aims Improving the rate of polyp detection is an important measure to
prevent colorectal cancer (CRC). Real-time automatic polyp detection systems, through …

Background Artificial intelligence (AI)-based polyp detection systems are used during
colonoscopy with the aim of increasing lesion detection and improving colonoscopy quality …

Background Artificial intelligence using computer-aided diagnosis (CADx) in real time with
images acquired during colonoscopy may help colonoscopists distinguish between …

Background: Computer-aided diagnosis (CAD) for colonoscopy may help endoscopists
distinguish neoplastic polyps (adenomas) requiring resection from nonneoplastic polyps not …

The application of artificial intelligence (AI) in colonoscopy is attracting a growing amount of
attention because it has the potential to improve the quality of colonoscopy. 1, 2 The main …

Background Optical diagnosis of colonic polyps is poorly reproducible outside of high
volume referral centers. The present study aimed to assess whether real-time artificial …

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 Aim Application of artificial intelligence in medicine is now attracting
substantial attention. In the field of gastrointestinal endoscopy, computer‐aided diagnosis …