Artificial Intelligence and Mapping a New Direction in Laboratory Medicine: A Review.

Journal: Clinical chemistry
Published Date: Nov 1, 2021

Abstract

BACKGROUND: Modern artificial intelligence (AI) and machine learning (ML) methods are now capable of completing tasks with performance characteristics that are comparable to those of expert human operators. As a result, many areas throughout healthcare are incorporating these technologies, including in vitro diagnostics and, more broadly, laboratory medicine. However, there are limited literature reviews of the landscape, likely future, and challenges of the application of AI/ML in laboratory medicine.

Authors

  • Daniel S Herman
    Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Daniel D Rhoads
    Department of Pathology, Case Western Reserve University, Cleveland, Ohio, USA daniel.rhoads@case.edu.
  • Wade L Schulz
    Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT.
  • Thomas J S Durant
    Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT.

Keywords

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