Advances in Artificial Intelligence for Predicting Breast Cancer Using Chest CT Scans

¹ Postgraduate Department, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, Shandong Province, China; Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China,

² Department of Health Management, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250012, Shandong Province, China; Shandong Engineering Research Center of Health Management, Jinan 250101, Shandong Province, China; Shandong Institute of Health Management, Jinan 250012, Shandong Province, China,

PAR 2025 , 9(1), 37–44; https://doi.org/10.26689/par.v9i1.9458

© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

Abstract

Breast cancer is the most common malignant tumor among women worldwide, with its incidence and mortality ranking first among all cancers. Early diagnosis and treatment significantly improve prognosis and reduce disease-related mortality. Chest computed tomography (CT), a routine examination for physical assessments and hospitalized patients, can screen for the presence of breast nodules and provide an initial assessment of malignancy risk. In recent years, artificial intelligence (AI) has advanced rapidly in the medical field. Studies have demonstrated that the sensitivity and accuracy of chest CT in diagnosing breast cancer are enhanced through the application of AI methods. This article explores the research progress in breast cancer diagnosis utilizing artificial intelligence based on chest CT examinations.

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