The Value of Artificial Intelligence in Laboratory Medicine.

Journal: American journal of clinical pathology
Published Date: May 18, 2021

Abstract

OBJECTIVES: As laboratory medicine continues to undergo digitalization and automation, clinical laboratorians will likely be confronted with the challenges associated with artificial intelligence (AI). Understanding what AI is good for, how to evaluate it, what are its limitations, and how it can be implemented are not well understood. With a survey, we aimed to evaluate the thoughts of stakeholders in laboratory medicine on the value of AI in the diagnostics space and identify anticipated challenges and solutions to introducing AI.

Authors

  • Ketan Paranjape
  • Michiel Schinkel
  • Richard D Hammer
    Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia.
  • Bo Schouten
    Amsterdam UMC.
  • R S Nannan Panday
    Section Acute Medicine, Department of Internal Medicine, Amsterdam UMC, VU University Medical Center, De Boelelaan 1118, 1081HZ, Amsterdam, the Netherlands.
  • Paul W G Elbers
    Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Mark H H Kramer
    Board of Directors, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
  • Prabath Nanayakkara

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