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

Abstract Artificial 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...

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Bibliographic Details
Published in:Journal of breast imaging 2023-05, Vol.5 (3), p.248-257
Main Authors: Ozcan, B Bersu, Patel, Bhavika K, Banerjee, Imon, Dogan, Basak E
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Benchmarking
Diagnostic Imaging
Humans
Radiologists
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Summary:Abstract Artificial 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.
ISSN:2631-6110
2631-6129
DOI:10.1093/jbi/wbad007