Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics

被引：23
|
作者：
Letourneau-Guillon, Laurent [1 ,2 ]
Camirand, David [1 ]
Guilbert, Francois [1 ,2 ]
Forghani, Reza [3 ,4 ,5 ,6 ,7 ,8 ,9 ]
机构：
[1] Ctr Hosp Univ Montreal CHUM, Dept Radiol, 1051 Rue Sanguinet, Montreal, PQ H2X 0C1, Canada
[2] Ctr Rech Chum CRCHUM, 900 St Denis St, Montreal, PQ H2X 0A9, Canada
[3] McGill Univ, Dept Radiol, Augmented Intelligence & Precis Hlth Lab AIPHL, Hlth Ctr, 5252 Blvd Maisonneuve Ouest, Montreal, PQ H4A 3S5, Canada
[4] McGill Univ, Res Inst, Hlth Ctr, 5252 Blvd Maisonneuve Ouest, Montreal, PQ H4A 3S5, Canada
[5] McGill Univ, Dept Radiol, 1650 Cedar Ave, Montreal, PQ H3G 1A4, Canada
[6] Jewish Gen Hosp, Segal Canc Ctr, Lady Davis Inst Med Res, 3755 Cote Ste Catherine Rd, Montreal, PQ H3T 1E2, Canada
[7] McGill Univ, Gerald Bronfman Dept Oncol, Suite 720,5100 Maisonneuve Blvd West, Montreal, PQ H4A 3T2, Canada
[8] McGill Univ, Dept Otolaryngol Head & Neck Surg, Royal Victoria Hosp, Hlth Ctr, 1001 Boul Decarie Blvd, Montreal, PQ H3A 3J1, Canada
[9] 4Intelligent Inc, Cote St Luc, PQ H3X 4A6, Canada
来源：
NEUROIMAGING CLINICS OF NORTH AMERICA | 2020年 / 30卷 / 04期
关键词：
Artificial intelligence; Machine learning; Workflow; Decision support; Smart device; Radiology; Medical imaging; Operational efficiency; CLINICAL DECISION-SUPPORT; RADIOLOGY WORKFLOW; PROTOCOL SELECTION; DEEP; CT; RADIOMICS; QUALITY; MODEL; RECONSTRUCTION; NOTIFICATION;
D O I：
10.1016/j.nic.2020.08.008
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
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.
引用
收藏
页码：E1 / +
页数：16
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