Machine learning in laboratory medicine: Waiting for the flood?

Federico Cabitza, Giuseppe Banfi

Research output: Contribution to journalArticlepeer-review

Abstract

This review focuses on machine learning and on how methods and models combining data analytics and artificial intelligence have been applied to laboratory medicine so far. Although still in its infancy, the potential for applying machine learning to laboratory data for both diagnostic and prognostic purposes deserves more attention by the readership of this journal, as well as by physician-scientists who will want to take advantage of this new computer-based support in pathology and laboratory medicine.

Original languageEnglish
JournalClinical Chemistry and Laboratory Medicine
DOIs
Publication statusAccepted/In press - Oct 23 2017

Keywords

  • artificial intelligence
  • diagnostic aids
  • literature review
  • machine learning

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Biochemistry, medical

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