AJR. American journal of roentgenology
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AJR Am J Roentgenol · Feb 2019
Artificial Intelligence for Breast MRI in 2008-2018: A Systematic Mapping Review.
The purpose of this study is to review literature from the past decade on applications of artificial intelligence (AI) to breast MRI. ⋯ Interest in the application of advanced AI methods to breast MRI is growing worldwide. Although this growth is encouraging, the current performance of AI applications in breast MRI means that such applications are still far from being incorporated into clinical practice.
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AJR Am J Roentgenol · Feb 2019
ReviewArtificial Intelligence in Breast Imaging: Potentials and Limitations.
The purpose of this article is to discuss potential applications of artificial intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption. ⋯ The algorithms of AI for workflow improvement and outcome analyses are advancing. Using imaging data of high quality and quantity, AI can support breast imagers in diagnosis and patient management, but AI cannot yet be relied on or be responsible for physicians' decisions that may affect survival. Education in AI is urgently needed for physicians.
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AJR Am J Roentgenol · Feb 2019
ReviewNew Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence.
The purpose of this article is to compare traditional versus machine learning-based computer-aided detection (CAD) platforms in breast imaging with a focus on mammography, to underscore limitations of traditional CAD, and to highlight potential solutions in new CAD systems under development for the future. ⋯ CAD development for breast imaging is undergoing a paradigm shift based on vast improvement of computing power and rapid emergence of advanced deep learning algorithms, heralding new systems that may hold real potential to improve clinical care.