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Authors
Kim, Hee Jeong
Kim, Hak Hee https://orcid.org/0000-0001-9672-844X
Eom, Hye Joung
Choi, Woo Jung
Chae, Eun Young
Shin, Hee Jung
Cha, Joo Hee
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Article History
Received: 6 February 2025
Revised: 2 June 2025
Accepted: 23 June 2025
First Online: 21 August 2025
Compliance with ethical standards
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: The scientific guarantor of this publication is Hak Hee Kim.
: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
: Min-Ju Kim from the Department of Clinical Epidemiology and Biostatistics in Asan Medical Center kindly provided statistical advice for this manuscript.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained (Asan Medical Center, approval no. 2021-1068).
: 200 of the 3012 women included in this study were part of a previously published study (Kim et al []). However, while the prior study assessed how AI influenced radiologist interpretations using selected sample cases, the present study investigates a novel application of two commercial AI-based triaging methods in multiple scenarios.
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