Digital microbiology.

ABSTRACT:

Background

Digitalization and artificial intelligence have an important impact on the way microbiology laboratories will work in the near future. Opportunities and challenges lie ahead to digitalize the microbiological workflows. Making efficient use of big data, machine learning, and artificial intelligence in clinical microbiology requires a profound understanding of data handling aspects.

Objective

This review article summarizes the most important concepts of digital microbiology. The article gives microbiologists, clinicians and data scientists a viewpoint and practical examples along the diagnostic process.

Sources

We used peer-reviewed literature identified by a PubMed search for digitalization, machine learning, artificial intelligence and microbiology.

Cont

SUBMITTER: Egli A 

PROVIDER: S-EPMC7320868 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature