Artificial Intelligence Applications in Clinical Chemistry.

Journal: Clinics in laboratory medicine
Published Date:

Abstract

Artificial intelligence (AI) applications are an area of active investigation in clinical chemistry. Numerous publications have demonstrated the promise of AI across all phases of testing including preanalytic, analytic, and postanalytic phases; this includes novel methods for detecting common specimen collection errors, predicting laboratory results and diagnoses, and enhancing autoverification workflows. Although AI applications pose several ethical and operational challenges, these technologies are expected to transform the practice of the clinical chemistry laboratory in the near future.

Authors

  • Dustin R Bunch
    Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital, 700 Children's Drive, C1923, Columbus, OH 43205-2644, USA; Department of Pathology, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Thomas Js Durant
    Department of Laboratory Medicine, Yale School of Medicine, 55 Park Street, Room PS 502A, New Haven, CT 06510, USA.
  • Joseph W Rudolf
    Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, USA; ARUP Laboratories, 500 Chipeta Way, MC 115, Salt Lake City, UT 84108, USA. Electronic address: joseph.rudolf@path.utah.edu.