Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter.

Journal: BMJ health & care informatics
Published Date:

Abstract

OBJECTIVE: Although the role of artificial intelligence (AI) in medicine is increasingly studied, most patients do not benefit because the majority of AI models remain in the testing and prototyping environment. The development and implementation trajectory of clinical AI models are complex and a structured overview is missing. We therefore propose a step-by-step overview to enhance clinicians' understanding and to promote quality of medical AI research.

Authors

  • Davy van de Sande
    Erasmus MC Datahub, Erasmus University Medical Centre, Rotterdam, the Netherlands; Department of Adult Intensive Care, Erasmus University Medical Centre, Rotterdam, the Netherlands.
  • Michel E van Genderen
    Erasmus MC Datahub, Erasmus University Medical Centre, Rotterdam, the Netherlands; Department of Adult Intensive Care, Erasmus University Medical Centre, Rotterdam, the Netherlands.
  • Jim M Smit
    Department of Adult Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Joost Huiskens
    SAS Institute B.V, Huizen, The Netherlands.
  • Jacob J Visser
    Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Robert E R Veen
    Department of Information Technology, theme Research Suite, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Edwin van Unen
    SAS Institute Inc, Health, Huizen, The Netherlands.
  • Oliver Hilgers Ba
    Active Medical Devices/Medical Device Software, CE Plus GmbH, Badenweiler, Germany.
  • Diederik Gommers
    Erasmus MC Datahub, Erasmus University Medical Centre, Rotterdam, the Netherlands; Department of Adult Intensive Care, Erasmus University Medical Centre, Rotterdam, the Netherlands.
  • Jasper van Bommel
    Department of Adult Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands.