Artificial intelligence-assisted colonoscopy improves adenoma detection rates in routine colonoscopy practice: a single-center, retrospective, propensity score-matched study with concurrent controls
Authors
Jae Gon Lee (ORCID: https://orcid.org/0000-0003-2930-8159)
Artificial intelligence-assisted colonoscopy improves adenoma detection rates in routine colonoscopy practice: a single-center, retrospective, propensity score-matched study with concurrent controls
Jae Gon Lee, Chul‐Soo Ahn, Sea Hyub Kae, Hyun Joo Jang et al.
Journal
BMC Gastroenterology
Topics
Colorectal Cancer Screening and Detection
article
Artificial intelligence-assisted colonoscopy improves adenoma detection rates in routine colonoscopy practice: a single-center, retrospective, propensity score-matched study with concurrent controls
Jae Gon Lee, Chul‐Soo Ahn, Sea Hyub Kae, Hyun Joo Jang, Da Ye Ham
article en
Abstract
No abstract available for this paper.
Publication Tag
BMC GastroenterologyVol. 25(1)
Institutions
Sacred Heart Hospital (NG), Sacred Heart Hospital (US), Hanyang University Guri Hospital (KR), Artificial Intelligence in Medicine (Canada) (CA)
Funders
National IT Industry Promotion Agency, Ministry of Science and ICT, South Korea