Journal
AMERICAN JOURNAL OF ROENTGENOLOGY
Volume 212, Issue 2, Pages 293-299Publisher
AMER ROENTGEN RAY SOC
DOI: 10.2214/AJR.18.20532
Keywords
artificial intelligence in breast imaging; artificial intelligence in radiology; artificial neural networks; computer-aided detection and diagnosis; machine and deep learning
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OBJECTIVE. 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. CONCLUSION. 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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