Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics

Laurent Letourneau-Guillon; David Camirand; Francois Guilbert; Reza Forghani

doi:10.1016/j.nic.2020.08.008

Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics

Neuroimaging Clin N Am. 2020 Nov;30(4):e1-e15. doi: 10.1016/j.nic.2020.08.008.

Authors

Laurent Letourneau-Guillon¹, David Camirand², Francois Guilbert³, Reza Forghani⁴

Affiliations

¹ 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.
² Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), 1051, rue Sanguinet, Montréal, Quebec H2X 0C1, Canada.
³ 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.
⁴ Augmented Intelligence & Precision Health Laboratory (AIPHL), Department of Radiology & Research Institute of the McGill University Health Centre, 5252 Boulevard de Maisonneuve Ouest, Montréal, Quebec H4A 3S5, Canada; Department of Radiology, McGill University, 1650 Cedar Avenue, Montréal, Quebec H3G 1A4, Canada; Segal Cancer Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine Road, Montréal, Quebec H3T 1E2, Canada; Gerald Bronfman Department of Oncology, McGill University, Suite 720, 5100 Maisonneuve Boulevard West, Montréal, Quebec H4A3T2, Canada; Department of Otolaryngology - Head and Neck Surgery, Royal Victoria Hospital, McGill University Health Centre, 1001 boul. Decarie Boulevard, Montréal, Quebec H3A 3J1, Canada; 4intelligent Inc., Cote St-Luc, Quebec H3X 4A6, Canada.

PMID: 33039002
DOI: 10.1016/j.nic.2020.08.008

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.

Keywords: Artificial intelligence; Decision support; Machine learning; Medical imaging; Operational efficiency; Radiology; Smart device; Workflow.

Publication types

Review

MeSH terms

Artificial Intelligence*
Clinical Decision-Making / methods*
Humans
Image Interpretation, Computer-Assisted / methods*
Neuroimaging / methods*
Workflow*