Robotization in microbiology.

Ann Biol Clin (Paris)

Laboratory of Microbiology. Faculty of Medicine and Pharmacy (University Mohammed the First), Oujda, Morocco, Laboratory of Microbiology, Mohammed VI University Hospital, Oujda, Morocco, Laboratory of Bioresources, Biotechnology, Ethnopharmacology and Health, Faculty of Sciences, University Mohammed the First, 60000 Oujda, Morocco.

Published: November 2024

AI Article Synopsis

  • Williams and Trotman aimed to automate bacteriology processes since 1960, but faced challenges like high costs and traditional methods that delayed progress.
  • Automation started with blood culture incubators and eventually improved efficiency in various bacteriology areas, such as cytology and antibiotic testing, leading to faster lab results and enhanced quality.
  • The integration of artificial intelligence in bacteriological analyses signifies a further transformation, resulting in fully automated labs with less human involvement, ultimately impacting healthcare quality.

Article Abstract

Since 1960, Williams and Trotman had dreamed of automating all technical manipulations in bacteriology. However, this switch to automation took several decades to realize. The high cost of instruments and the attachment to classical bacteriology were the main obstacles. Automation began with blood culture incubators, and paved the way for automation in other areas of bacteriology, notably cytology, culture, identification and antibiotic susceptibility testing. Medical laboratories have been quick to recognize the efficiency of these systems and their many advantages. The reduction in turnaround times for bacteriological examinations is one of the changes that have revolutionized laboratory practice. In addition, sensitivity, safety, traceability and quality are more assured with automation. The second revolution is the integration of artificial intelligence into the processing and interpretation of bacteriological analyses. We are currently witnessing the total automation of laboratories and a reduction in human intervention. In this article, we have attempted to address all aspects of bacteriology affected by automation, and the impact of this change on current laboratory practice and quality of healthcare.

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Source
http://dx.doi.org/10.1684/abc.2024.1922DOI Listing

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