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- W3036421329 abstract "Abstract 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." @default.
- W3036421329 created "2020-06-25" @default.
- W3036421329 creator A5032850952 @default.
- W3036421329 date "2020-06-19" @default.
- W3036421329 modified "2023-10-18" @default.
- W3036421329 title "Artificial Intelligence: A Primer for Breast Imaging Radiologists" @default.
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- W3036421329 doi "https://doi.org/10.1093/jbi/wbaa033" @default.
- W3036421329 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7418877" @default.
- W3036421329 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32803154" @default.
- W3036421329 hasPublicationYear "2020" @default.
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