Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond

被引：10
|
作者：
Pierre, Kevin [1 ,2 ,3 ]
Haneberg, Adam G. [1 ,2 ,4 ]
Kwak, Sean [1 ,2 ]
Peters, Keith R. [1 ,2 ,3 ]
Hochhegger, Bruno [1 ,2 ,3 ]
Sananmuang, Thiparom [5 ]
Tunlayadechanont, Padcha [5 ]
Tighe, Patrick J. [6 ,7 ]
Mancuso, Anthony [1 ,2 ,3 ]
Forghani, Reza [1 ,2 ,3 ,4 ,8 ,9 ]
机构：
[1] Univ Florida, Coll Med, Dept Radiol, Radiom & Augmented Intelligence Lab RAIL, Gainesville, FL 32610 USA
[2] Univ Florida, Norman Fixel Inst Neurol Dis, Coll Med, Gainesville, FL 32610 USA
[3] Univ Florida, Dept Radiol, Coll Med, Gainesville, FL 32610 USA
[4] Univ Florida, Dept Radiol, Div Med Phys, Coll Med, Gainesville, FL 32610 USA
[5] Ramathibodi Hosp, Dept Diagnost & Therapeut Radiol & Res, Fac Med, Bangkok, Thailand
[6] Univ Florida, Dept Anesthesiol, Coll Med, Gainesville, FL 32610 USA
[7] Univ Florida, Coll Med, Dept Orthopaed Surg, Gainesville, FL 32610 USA
[8] Univ Florida, Dept Radiol, Radiol & Artificial Intelligence AI, Coll Med, 1600 SW Archer Rd, Gainesville, FL 32610 USA
[9] Univ Florida, Dept Radiol, Coll Med, AI, 1600 SW Archer Rd, Gainesville, FL 32610 USA
来源：
SEMINARS IN ROENTGENOLOGY | 2023年 / 58卷 / 02期
关键词：
CLINICAL DECISION-SUPPORT; CONVOLUTIONAL NEURAL-NETWORK; IMAGE-RECONSTRUCTION; PROTOCOL SELECTION; CT; MRI; QUALITY; MODEL; EDUCATION;
D O I：
10.1053/j.ro.2023.02.003
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
There are many impactful applications of artificial intelligence (AI) in the electronic radiology roundtrip and the patient's journey through the healthcare system that go beyond diagnostic applications. These tools have the potential to improve quality and safety, optimize workflow, increase efficiency, and increase patient satisfaction. In this article, we review the role of AI for process improvement and workflow enhancement which includes applications beginning from the time of order entry, scan acquisition, applications supporting the image interpretation task, and applications supporting tasks after image interpretation such as result communication. These non-diagnostic workflow and process optimization tasks are an important part of the arsenal of potential AI tools that can streamline day to day clinical practice and patient care.Semin Roentgenology 58:158-169 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码：158 / 169
页数：12
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