Artificial Intelligence, Microbiology, and Raman Technologies


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Özyaman F., Yılmaz Ö.

Artificial Intelligence Theory and Applications, vol.2, no.2, pp.51-58, 2022 (Peer-Reviewed Journal)

Abstract

Artificial intelligence which became important in the laboratory is used in medical microbiology in infectious disease testing to support decision-making, identification and antimicrobial susceptibility testing with Raman technologies, image analysis, and MALDI-TOF-MS. Antimicrobial resistance is a worldwide risk for human health. Treatment of infections requires fast and correct identification and antimicrobial susceptibility testing. Current microbiology laboratory procedures give broad information in identification and antimicrobial susceptibility testing, however, they are complex and time-consuming. Thus, new methods are required such as Raman technologies. Vibrational spectroscopy method Raman spectroscopy is one of the useful and new tools that is used in different fields of medicine. Recently, fast and accurate Raman technologies used identification, differentiation of resistant and sensitive strains, and antimicrobial susceptibility testing became important in microbiology. Raman technologies include various kinds of methods. Raman spectroscopy can implement identification, and antibiotic susceptibility together with increased accuracy. It is a cheap, label-free, and effective method that differentiates bacterial infections. Besides bacteria, it is also used in rapid and sensitive virus detection such as COVID-19 by using saliva. When PCR is used in COVID-19 detection, as the variants increase sensitivity decreases. Raman technology overcomes this problem. This review summarizes the applications, challenges, and future of Raman technologies in microbiology to improve the treatment of infectious diseases and improve human health.