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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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This page is a summary of: Machine learning in laboratory medicine: waiting for the flood?, Clinical Chemistry and Laboratory Medicine (CCLM), October 2017, De Gruyter,
DOI: 10.1515/cclm-2017-0287.
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