Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Dec 22, 2023

Abstract

OBJECTIVES: Artificial intelligence (AI)-based clinical decision support systems to aid diagnosis are increasingly being developed and implemented but with limited understanding of how such systems integrate with existing clinical work and organizational practices. We explored the early experiences of stakeholders using an AI-based imaging software tool Veye Lung Nodules (VLN) aiding the detection, classification, and measurement of pulmonary nodules in computed tomography scans of the chest.

Authors

  • Nuša Farič
    Usher Institute, University of Edinburgh, UK.
  • Sue Hinder
    Usher Institute, University of Edinburgh, UK.
  • Robin Williams
    Institute for the Study of Science, Technology and Innovation, The University of Edinburgh, Edinburgh, United Kingdom.
  • Rishi Ramaesh
    Department of Radiology, Royal Infirmary Hospital Edinburgh, UK.
  • Miguel O Bernabeu
    Usher Institute, University of Edinburgh, UK.
  • Edwin van Beek
    Centre for Cardiovascular Science, Edinburgh Imaging and Neuroscience, University of Edinburgh, UK.
  • Kathrin Cresswell
    Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.

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