Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions

被引：0

作者：

Matthew S. Holden

Sean Xia

Hillary Lia

Zsuzsanna Keri

Colin Bell

Lindsey Patterson

Tamas Ungi

Gabor Fichtinger

机构：

[1] Queen’s University,Laboratory for Percutaneous Surgery, School of Computing

[2] Queen’s University,Department of Emergency Medicine, School of Medicine

[3] Queen’s University,Department of Anesthesiology and Perioperative Medicine, School of Medicine

来源：

International Journal of Computer Assisted Radiology and Surgery | 2019年 / 14卷

关键词：

Ultrasound-guided needle insertion; Simulation-based training; Medical education; Objective skill assessment;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：1993 / 2003

页数：10

共 44 条

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[24] TECHNICAL EFFICACY OF ULTRASOUND-GUIDED TIBIAL ARTERY END VASCULAR INTERVENTIONS FOR CHRONIC TOTAL OCCLUSION LESIONS IN CRITICAL LIMB ISCHEMIA
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[26] Simulation-Based Mastery Learning Improves Ultrasound-Guided Peripheral Intravenous Catheter Insertion Skills of Practicing Nurses
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[27] Endobronchial Ultrasound Skills and Tasks Assessment Tool Assessing the Validity Evidence for a Test of Endobronchial Ultrasound-guided Transbronchial Needle Aspiration Operator Skill
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