Artificial intelligence-assisted colonoscopy improves adenoma detection rates in routine colonoscopy practice: a single-center, retrospective, propensity score-matched study with concurrent controls

Authors

Institutions

Publication Details

Journal
BMC Gastroenterology
Published
2025-10-23
DOI
https://doi.org/10.1186/s12876-025-04011-w
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
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 et al.
BMC Gastroenterology
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.
BMC GastroenterologyVol. 25(1)
Sacred Heart Hospital (NG), Sacred Heart Hospital (US), Hanyang University Guri Hospital (KR), Artificial Intelligence in Medicine (Canada) (CA)
National IT Industry Promotion Agency, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 59%
Colorectal Cancer Screening and Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.