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Artificial Intelligence in Breast Imaging

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Breast Imaging

Part of the book series: Medical Radiology ((Med Radiol Diagn Imaging))

Abstract

The development and implementation of artificial intelligence (AI) for breast imaging have been ongoing for several decades and have played an important role in clinical practice. With the emergence and maturity of deep learning (DL) algorithms, the application of AI technology in medical imaging has gradually moved to a higher level and broader range. It may break the performance bottleneck of traditional computer-aided detection/diagnosis (CAD) systems. This chapter reviews the three domains of clinical use cases for AI techniques in breast imaging, including risk assessment for screening, breast cancer detection and classification for diagnosis, and therapy selection and outcome prediction for interventions. As for future directions, it is necessary to improve the AI-based system’s interpretability and performance in a clinical application and maximize its clinical impact.

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Authors and Affiliations

  1. GROW School for Oncology and Development Biology, Maastricht University, Maastricht, The Netherlands

    Xin Wang, Yuan Gao & Tianyu Zhang

  2. Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands

    Xin Wang, Nikita Moriakov, Yuan Gao, Tianyu Zhang, Luyi Han & Ritse M. Mann

  3. Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands

    Nikita Moriakov, Luyi Han & Ritse M. Mann

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  1. Xin Wang
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  2. Nikita Moriakov
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  3. Yuan Gao
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  4. Tianyu Zhang
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Correspondence to Ritse M. Mann .

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  1. Department of Radiology, Medical University of Graz, Graz, Austria

    Michael Fuchsjäger

  2. Department of Radiology, University of California, Davis (UCD) School of Medicine, Sacramento, CA, USA

    Elizabeth Morris

  3. Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria

    Thomas Helbich

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Wang, X., Moriakov, N., Gao, Y., Zhang, T., Han, L., Mann, R.M. (2022). Artificial Intelligence in Breast Imaging. In: Fuchsjäger, M., Morris, E., Helbich, T. (eds) Breast Imaging . Medical Radiology(). Springer, Cham. https://doi.org/10.1007/978-3-030-94918-1_20

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