Exploring the Efficacy of Artificial Intelligence-Based Computer-Aided Detection for Breast Cancer Detection on Digital Mammograms

AI-CAD detected 81.4% of cancers, with substantial concordance with the findings of experienced radiologists. It correctly identified 19.4% of mammographically occult cases.

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Publication Details

Journal
Journal of the Korean Society of Radiology
Published
2025-01-01
DOI
https://doi.org/10.3348/jksr.2024.0061
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Efficacy of Artificial Intelligence-Based Computer-Aided Detection for Breast Cancer Detection on Digital Mammograms

Bong Joo Kang, Sung Hun Kim, Ga Eun Park, S. Bien
1 links
Journal of the Korean Society of Radiology
AI in cancer detection
article

Exploring the Efficacy of Artificial Intelligence-Based Computer-Aided Detection for Breast Cancer Detection on Digital Mammograms

Bong Joo Kang, Sung Hun Kim, Ga Eun Park, S. Bien
article en

Abstract

AI-CAD detected 81.4% of cancers, with substantial concordance with the findings of experienced radiologists. It correctly identified 19.4% of mammographically occult cases.

Journal of the Korean Society of RadiologyVol. 86(3)
The Catholic University of Korea Bucheon St. Mary's Hospital (KR), The Catholic University of Korea Seoul St. Mary's Hospital (KR), Catholic University of Korea (KR)
Good health and well-being
Openalex Percentile: Top 94%
AI in cancer detection
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