Machine learning in laboratory medicine: waiting for the flood?

Federico Cabitza, Giuseppe Banfi
  • Clinical Chemistry and Laboratory Medicine (CCLM), March 2018, De Gruyter
  • DOI: 10.1515/cclm-2017-0287

What is it about?

Machine Learning (ML) methods and models, as a specific approach to the development of more powerful Artificial Intelligence aids are said to have a clear potential to improve the diagnostic, prognostic and therapeutic value of laboratory medicine data in screening, detecting and monitoring many different medical conditions. In this work we present a literature review to understand the current level of diffusion of ML models and their impact on Laboratory Medicine.

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The following have contributed to this page: Federico Cabitza