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The Clinical Application of Artificial Intelligence in Breast Imaging: Current Insights, Challenges, and Future
1Department of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea. sonyumee@naver.com.
Abstract:
Artificial intelligence (AI) is used in various areas of radiology, particularly in breast imaging, starting with mammography and extending to ultrasonography (US) and magnetic resonance imaging (MRI). This overview aims to examine the introduction, applications, and challenges of AI in breast imaging. This narrative outlines the applications of AI in various modalities-including mammography, US, and MRI-and discusses its indications, ongoing challenges, and future perspectives. AI has been used for identification, classification, detection, diagnosis, breast density assessment, treatment response, and prediction of prognosis. AI can help radiologists avoid missed diagnoses due to heavy workloads and enhance workflow efficiency. The integration of AI software into daily practice, along with further validation and refinement, is necessary to support radiologists' workflows.
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