Implementation and design of artificial intelligence in abdominal imaging.

Journal: Abdominal radiology (New York)
Published Date:

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.

Authors

  • Hailey H Choi
    Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, M-391, San Francisco, CA, 94134, USA.
  • Silvia D Chang
    University of British Columbia, Vancouver, BC, Canada.
  • Marc D Kohli
    Radiology and Biomedical Imaging, 505 Parnassus Ave, Moffit-391, San Francisco, CA, 94117, USA. marc.kohli@ucsf.edu.