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Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics.
Letourneau-Guillon, Laurent; Camirand, David; Guilbert, Francois; Forghani, Reza.
Afiliação
  • Letourneau-Guillon L; 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.
  • Camirand D; Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM), 1051, rue Sanguinet, Montréal, Quebec H2X 0C1, Canada.
  • Guilbert F; 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.
  • Forghani R; 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, Q
Neuroimaging Clin N Am ; 30(4): e1-e15, 2020 Nov.
Article em En | MEDLINE | ID: mdl-33039002
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Interpretação de Imagem Assistida por Computador / Fluxo de Trabalho / Neuroimagem / Tomada de Decisão Clínica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Neuroimaging Clin N Am Assunto da revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Interpretação de Imagem Assistida por Computador / Fluxo de Trabalho / Neuroimagem / Tomada de Decisão Clínica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Neuroimaging Clin N Am Assunto da revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Ano de publicação: 2020 Tipo de documento: Article