M Brand, J Troya, A Krenzer… - United European …, 2022 - Wiley Online Library
Background The efficiency of artificial intelligence as computer‐aided detection (CADe) systems for colorectal polyps has been demonstrated in several randomized trials. However …
S Kudo, Y Mori, M Misawa, K Takeda… - Digestive …, 2019 - Wiley Online Library
Background and Aim Application of artificial intelligence in medicine is now attracting substantial attention. In the field of gastrointestinal endoscopy, computer‐aided diagnosis …
L Da Rio, M Spadaccini, TL Parigi… - World Journal of …, 2023 - ncbi.nlm.nih.gov
Inflammatory bowel diseases, namely ulcerative colitis and Crohn's disease, are chronic and relapsing conditions that pose a growing burden on healthcare systems worldwide. Because …
Y Zhang, X Zhang, Q Wu, C Gu… - … of Laparoendoscopic & …, 2021 - liebertpub.com
Background: This study aimed to compare artificial intelligence (AI)-aided colonoscopy with conventional colonoscopy for polyp detection. Methods: A systematic literature search was …
N Mahajan, E Holzwanger, JG Brown, TM Berzin - VideoGIE, 2023 - Elsevier
Artificial intelligence (AI) and machine learning (ML) will play a growing role in gastroenterology. Computer-aided polyp detection is an early example of the how AI/ML can …
T Ribeiro, M Mascarenhas, J Afonso… - Journal of …, 2022 - Wiley Online Library
Abstract Background and Aim Colon capsule endoscopy (CCE) has become a minimally invasive alternative for conventional colonoscopy. Nevertheless, each CCE exam produces …