Dissemin is shutting down on January 1st, 2025

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Oxford University Press, Journal of Breast Imaging, 2023

DOI: 10.1093/jbi/wbad007

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Artificial Intelligence in Breast Imaging: Challenges of Integration Into Clinical Practice

Journal article published in 2023 by B. Bersu Ozcan ORCID, Bhavika K. Patel ORCID, Imon Banerjee, Basak E. Dogan ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

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Data provided by SHERPA/RoMEO

Abstract

AbstractArtificial intelligence (AI) in breast imaging is a rapidly developing field with promising results. Despite the large number of recent publications in this field, unanswered questions have led to limited implementation of AI into daily clinical practice for breast radiologists. This paper provides an overview of the key limitations of AI in breast imaging including, but not limited to, limited numbers of FDA-approved algorithms and annotated data sets with histologic ground truth; concerns surrounding data privacy, security, algorithm transparency, and bias; and ethical issues. Ultimately, the successful implementation of AI into clinical care will require thoughtful action to address these challenges, transparency, and sharing of AI implementation workflows, limitations, and performance metrics within the breast imaging community and other end-users.