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Implementation and design of artificial intelligence in abdominal imaging

  • Special Section: Prostate cancer update
  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Artificial intelligence is a technique that holds promise for helping radiologists improve the care of our patients. At the same time, implementation decisions we make now can have a long-lasting effect on patient outcomes. In the following article, we discuss four areas with unique considerations for implementation of AI: bias, trust, risk, and design. In each section, we highlight applications of AI to abdominal imaging and prostate cancer specifically.

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Authors and Affiliations

  1. Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, M-391, San Francisco, CA, 94134, USA

    Hailey H. Choi & Marc D. Kohli

  2. Department of Radiology, Vancouver General Hospital, 899 West 12th Avenue, Vancouver, BC, V5M 1M9, Canada

    Silvia D. Chang

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  1. Hailey H. Choi
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Correspondence to Marc D. Kohli.

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Choi, H.H., Chang, S.D. & Kohli, M.D. Implementation and design of artificial intelligence in abdominal imaging. Abdom Radiol 45, 4084–4089 (2020). https://doi.org/10.1007/s00261-020-02471-0

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  • DOI: https://doi.org/10.1007/s00261-020-02471-0

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