Artificial Intelligence in the Clinical Laboratory

Published:December 13, 2022DOI:
      Artificial intelligence (AI) has become ubiquitous in many areas outside of health care with application so wide-ranging to include agricultural decision making, smartphone navigation, e-mail spam detection, predictive text, targeted marketing, environmental protection, criminal sentencing, employee hiring, and robotics among thousands of others. Clinical practice lags behind many other areas in terms of AI adoption, still relying primarily on manual human decision making. Nonetheless, clinical AI development and adoption are progressing and are poised to play a central role in many aspects of clinical practice in future decades, if not sooner. Indeed, AI is already integral to mission critical processes in some clinical laboratories. Thus, it is essential that pathologists, laboratorians, and others in health care gain at least a basic understanding of AI.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribers receive full online access to your subscription and archive of back issues up to and including 2002.

      Content published before 2002 is available via pay-per-view purchase only.


      Subscribe to Clinics in Laboratory Medicine
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect