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

Journal: Neuroimaging clinics of North America
Published Date: Nov 1, 2020

Abstract

There 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.

Authors

  • Laurent Letourneau-Guillon
    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.
  • David Camirand
    Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), 1051, rue Sanguinet, Montréal, Quebec H2X 0C1, Canada.
  • Francois Guilbert
    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.
  • Reza Forghani
    Department of Radiology, McGill University Health Centre, 1001 Decarie Blvd, Room C02.5821, Montreal, QC, Canada H4A 3J1; Augmented Intelligence & Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, Montreal, Canada; Segal Cancer Centre and Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada; Gerald Bronfman Department of Oncology, McGill University, Montreal, Canada; and Department of Otolaryngology-Head and Neck Surgery, McGill University, Montreal, Canada.

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