Journal
JOURNAL OF THORACIC IMAGING
Volume 35, Issue 3, Pages 137-142Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/RTI.0000000000000486
Keywords
artificial intelligence; machine Learning; non images based AI
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Artificial intelligence (AI) is a broad field of computational science that includes many subsets. Today the most widely used subset in medical imaging is machine learning (ML). Many articles have focused on the use of ML for pattern recognition to detect and potentially diagnose various pathologies. However, AI algorithm development is now directed toward workflow management. AI can impact patient care at multiple stages of their imaging experience and assist in efficient and effective scheduling, imaging performance, worklist prioritization, image interpretation, and quality assurance. The purpose of this manuscript was to review the potential AI applications in radiology focusing on workflow management and discuss how ML will affect cardiothoracic imaging.
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