Evolving Applications of Artificial Intelligence and Machine Learning in Infectious Diseases Testing.

Journal: Clinical chemistry
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are poised to transform infectious disease testing. Uniquely, infectious disease testing is technologically diverse spaces in laboratory medicine, where multiple platforms and approaches may be required to support clinical decision-making. Despite advances in laboratory informatics, the vast array of infectious disease data is constrained by human analytical limitations. Machine learning can exploit multiple data streams, including but not limited to laboratory information and overcome human limitations to provide physicians with predictive and actionable results. As a quickly evolving area of computer science, laboratory professionals should become aware of AI/ML applications for infectious disease testing as more platforms are become commercially available.

Authors

  • Nam K Tran
    Dept. of Pathology and Laboratory Medicine, United States. Electronic address: nktran@ucdavis.edu.
  • Samer Albahra
    Pathology & Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio.
  • Larissa May
    Department of Emergency Medicine, UC Davis School of Medicine, CA.
  • Sarah Waldman
    Department of Internal Medicine, Division of Infectious Diseases, UC Davis School of Medicine, CA.
  • Scott Crabtree
    Department of Internal Medicine, Division of Infectious Diseases, UC Davis School of Medicine, CA.
  • Scott Bainbridge
    Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, CA.
  • Hooman Rashidi
    Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, CA.