• Neuroimaging Clin. N. Am. · Nov 2020

    Review

    Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics.

    • Laurent Letourneau-Guillon, David Camirand, Francois Guilbert, and Reza Forghani.
    • Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), 1051, rue Sanguinet, Montréal, Quebec H2X 0C1, Canada; Centre de Recherche du CHUM (CRCHUM), 900 St Denis St, Montréal, Quebec H2X 0A9, Canada. Electronic address: laurent.letourneau-guillon.1@umontreal.ca.
    • Neuroimaging Clin. N. Am. 2020 Nov 1; 30 (4): e1-e15.

    AbstractThere is great potential for artificial intelligence (AI) applications, especially machine learning and natural language processing, in medical imaging. Much attention has been garnered by the image analysis tasks for diagnostic decision support and precision medicine, but there are many other potential applications of AI in radiology and have potential to enhance all levels of the radiology workflow and practice, including workflow optimization and support for interpretation tasks, quality and safety, and operational efficiency. This article reviews the important potential applications of informatics and AI related to process improvement and operations in the radiology department.Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

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