Crossmark

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

Crossref DOI link: https://doi.org/10.1186/s12876-025-04011-w

Published Online: 2025-10-23

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ham, Da Yeon

Lee, Jae Gon

Ahn, Chung Il

Kae, Sea Hyub

Jang, Hyun Joo
License Information

Text and Data Mining valid from 2025-10-23

Version of Record valid from 2025-10-23
More Information

Article History

Received: 19 February 2025

Accepted: 20 May 2025

First Online: 23 October 2025

Declarations

:

: The study protocol was approved by the Institutional Review Board (IRB) of Hallym University Dongtan Sacred Heart Hospital (approval no. HDT 2023-04-001). Due to the retrospective nature of this study, which analyzes data obtained from completed medical procedures, and the strict confidentiality measures outlined in the study protocol to protect participants’ personal information, the IRB judged that the possibility of violating participants’ rights was minimal. Accordingly, the need for consent to participate was also waived by the ethics committee that approved this study. This study adhered to the ethical guidelines of the Declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below