Task model-specific operator skill assessment in routine fetal ultrasound scanning.

Journal: International journal of computer assisted radiology and surgery
PMID: 35556206

Abstract

PURPOSE: For highly operator-dependent ultrasound scanning, skill assessment approaches evaluate operator competence given available data, such as acquired images and tracked probe movement. Operator skill level can be quantified by the completeness, speed, and precision of performing a clinical task, such as biometry. Such clinical tasks are increasingly becoming assisted or even replaced by automated machine learning models. In addition to measurement, operators need to be competent at the upstream task of acquiring images of sufficient quality. To provide computer assistance for this task requires a new definition of skill.

Authors

  • Yipei Wang
  • Qianye Yang
    Centre for Medical Image Computing, Wellcome/EPSRC Centre for Interventional & Surgical Sciences, and Department of Medical Physics & Biomedical Engineering, University College London, London, UK.
  • Lior Drukker
    Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.
  • Aris Papageorghiou
    Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
  • Yipeng Hu
    Centre for Medical Image Computing (CMIC), Departments of Medical Physics & Biomedical Engineering and Computer Science, University College London, UK.
  • J Alison Noble
    Institute of Biomedical Engineering (IBME), University of Oxford, Oxford, England, UK.

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