Clinical Application of Artificial Intelligence in Breast Ultrasound
유방초음파에서 인공지능의 임상적 활용
Baek J. Kim J. Kim H.J. Yoon J.H. Park H.Y. Lee J. Kang B. Zakiryarov I. Kultaev A. Saktashev B. Kim W.H.
March 2025Korean Radiological Society
Journal of the Korean Society of Radiology
2025#86Issue 2216 - 226 pp.
Breast cancer is the most common cancer in women worldwide, and its early detection is critical for improving survival outcomes. As a diagnostic and screening tool, mammography can be less effective owing to the masking effect of fibroglandular tissue, but breast US has good sensitivity even in dense breasts. However, breast US is highly operator dependent, highlighting the need for artificial intelligence (AI)-driven solutions. Unlike other modalities, US is performed using a handheld device that produces a continuous real-time video stream, yielding 12000-48000 frames per examination. This can be significantly challenging for AI development and requires real-time AI inference capabilities. In this review, we classified AI solutions as computer-aided diagnosis and computer-aided detection to facilitate a functional understanding and review commercial software supported by clinical evidence. In addition, to bridge healthcare gaps and enhance patient outcomes in geographically under resourced areas, we propose a novel framework by reviewing the existing AI-based triage workflows including mobile ultrasound.
Artificial Intelligence , Breast Diseases , Breast Neoplasm , Ultrasonography
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BeamWorks Inc., Daegu, South Korea
School of Computer Science and Engineering, Kyungpook National University, Daegu, South Korea
Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea
Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea
Department of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea
Municipal State Enterprise on the Right of Economic Management Almaty Oncology Center, Public Health Department of Kazakhstan, Almaty, Kazakhstan
JSC “Kazakh Research Institute of Oncology and Radiology, ”, Almaty, Kazakhstan
Nazarbayev University, Astana, Kazakhstan
Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, 807 Hoguk-ro, Buk-gu, Daegu, 41404, South Korea
BeamWorks Inc.
School of Computer Science and Engineering
Department of Radiology
Department of Radiology
Department of Surgery
Municipal State Enterprise on the Right of Economic Management Almaty Oncology Center
JSC “Kazakh Research Institute of Oncology and Radiology
Nazarbayev University
Department of Radiology
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