Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation.

Journal: European radiology
PMID: 38466390

Abstract

OBJECTIVES: To evaluate an artificial intelligence (AI)-assisted double reading system for detecting clinically relevant missed findings on routinely reported chest radiographs.

Authors

  • Laurens Topff
    Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
  • Sanne Steltenpool
    Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Erik R Ranschaert
    Department of Radiology, Elisabeth-TweeSteden Ziekenhuis, Tilburg, The Netherlands.
  • Naglis Ramanauskas
    Oxipit UAB, Vilnius, Lithuania.
  • Renee Menezes
    Biostatistics Centre, Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Jacob J Visser
    Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Regina G H Beets-Tan
    Department of Radiology, the Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Nolan S Hartkamp
    Department of Radiology, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands.

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