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
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
收藏
页码:1993 / 2003
页数:10
相关论文
共 44 条
  • [1] Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions
    Holden, Matthew S.
    Xia, Sean
    Lia, Hillary
    Keri, Zsuzsanna
    Bell, Colin
    Patterson, Lindsey
    Ungi, Tamas
    Fichtinger, Gabor
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2019, 14 (11) : 1993 - 2003
  • [2] A Serious Game for Learning Ultrasound-Guided Needle Placement Skills
    Chan, Wing-Yin
    Qin, Jing
    Chui, Yim-Pan
    Heng, Pheng-Ann
    IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2012, 16 (06): : 1032 - 1042
  • [3] A simple model for learning stereotactic skills in ultrasound-guided amniocentesis
    Smith, JF
    Bergmann, M
    Gildersleeve, R
    Allen, R
    OBSTETRICS AND GYNECOLOGY, 1998, 92 (02): : 303 - 305
  • [4] Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions
    Galo, Jason
    Chaturvedi, Abhishek
    Al-Qaraghuli, Abdullah
    Rubio, Pablo M.
    Zhang, Cheng
    Kahsay, Yirga
    Verma, Beni Rai
    Chitturi, Kalyan R.
    Mintz, Gary S.
    Waksman, Ron
    Case, Brian C.
    Hashim, Hayder
    Garcia-Garcia, Hector M.
    CATHETERIZATION AND CARDIOVASCULAR INTERVENTIONS, 2025,
  • [5] Kinematics Data Representations for Skills Assessment in Ultrasound-Guided Needle Insertion
    Liu, Robert
    Holden, Matthew S.
    MEDICAL ULTRASOUND, AND PRETERM, PERINATAL AND PAEDIATRIC IMAGE ANALYSIS, ASMUS 2020, PIPPI 2020, 2020, 12437 : 189 - 198
  • [6] Development and validation of metrics for assessment of ultrasound-guided fascial block skills
    McLeod, Graeme
    Seeley, Jonathan
    Wilson, Matthew
    Hind, Daniel
    Cole, Ashley
    Hewson, David
    Hyslop, Marie
    Keetharuth, Anju
    MacFarlane, Alan
    Wilby, Martin
    McKendrick, Mel
    McKendrick, Gary
    Mustafa, Ayman
    Chuan, Alwin
    Bangalore, Pavan Raju
    Record, Nicholas
    Rombach, Ines
    Sadler, Amy
    Swaby, Liz
    Taylor, Alasdair
    Tripathi, Shiva
    Res Collaborators, Research collaborators
    BRITISH JOURNAL OF ANAESTHESIA, 2024, 133 (04) : 862 - 873
  • [7] Learning Ultrasound-Guided Needle Insertion Skills through an Edutainment Game
    Chan, Wing-Yin
    Ni, Dong
    Pang, Wai-Man
    Qin, Jing
    Chui, Yim-Pan
    Yu, Simon Chun-Ho
    Heng, Pheng-Ann
    TRANSACTIONS ON EDUTAINMENT IV, 2010, 6250 : 200 - +
  • [8] Acquisition of Technical Skills in Ultrasound-Guided Regional Anesthesia Using a High-Fidelity Simulator
    Cheung, Jeffrey J. H.
    Chen, Ewen W.
    Al-Allaq, Yaseen
    Nikravan, Nasim
    Mccartney, Colin J. L.
    Dubrowski, Adam
    Awad, Imad T.
    MEDICINE MEETS VIRTUAL REALITY 18, 2011, 163 : 119 - 124
  • [9] Reliability of the Direct Observation of Procedural Skills assessment tool for ultrasound-guided regional anaesthesia
    Chuan, A.
    Thillainathan, S.
    Graham, P. L.
    Jolly, B.
    Wong, D. M.
    Smith, N.
    Barrington, M. J.
    ANAESTHESIA AND INTENSIVE CARE, 2016, 44 (02) : 201 - 209
  • [10] Psychometric evaluation of a direct observation of procedural skills assessment tool for ultrasound-guided regional anaesthesia
    Watson, M. J.
    Wong, D. M.
    Kluger, R.
    Chuan, A.
    Herrick, M. D.
    Ng, I.
    Castanelli, D. J.
    Lin, L.
    Lansdown, A. K.
    Barrington, M. J.
    ANAESTHESIA, 2014, 69 (06) : 604 - 612