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Artificial Intelligence: A Primer for Breast Imaging Radiologists
Author(s) -
Manisha Bahl
Publication year - 2020
Publication title -
journal of breast imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 3
eISSN - 2631-6129
pISSN - 2631-6110
DOI - 10.1093/jbi/wbaa033
Subject(s) - terminology , breast imaging , computer science , artificial intelligence , deep learning , emerging technologies , applications of artificial intelligence , mammography , data science , breast cancer screening , breast cancer , medicine , cancer , philosophy , linguistics
Artificial intelligence (AI) is a branch of computer science dedicated to developing computer algorithms that emulate intelligent human behavior. Subfields of AI include machine learning and deep learning. Advances in AI technologies have led to techniques that could increase breast cancer detection, improve clinical efficiency in breast imaging practices, and guide decision-making regarding screening and prevention strategies. This article reviews key terminology and concepts, discusses common AI models and methods to validate and evaluate these models, describes emerging AI applications in breast imaging, and outlines challenges and future directions. Familiarity with AI terminology, concepts, methods, and applications is essential for breast imaging radiologists to critically evaluate these emerging technologies, recognize their strengths and limitations, and ultimately ensure optimal patient care.

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