Artificial Intelligence Applications in Clinical Chemistry

Dustin R Bunch; Thomas Js Durant; Joseph W Rudolf

doi:10.1016/j.cll.2022.09.005

Artificial Intelligence Applications in Clinical Chemistry

Clin Lab Med. 2023 Mar;43(1):47-69. doi: 10.1016/j.cll.2022.09.005. Epub 2022 Dec 15.

Authors

Dustin R Bunch¹, Thomas Js Durant², Joseph W Rudolf³

Affiliations

¹ 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.
² Department of Laboratory Medicine, Yale School of Medicine, 55 Park Street, Room PS 502A, New Haven, CT 06510, USA.
³ 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: [email protected].

PMID: 36764808
DOI: 10.1016/j.cll.2022.09.005

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.

Keywords: Artificial intelligence; Clinical chemistry; Expert systems; Machine learning.

Publication types

Review

MeSH terms

Artificial Intelligence*
Chemistry, Clinical*