Archives of Clinical and Medical Microbiology(ACMMJ)
ISSN: 2835-9968 | DOI: 10.33140/ACMMJ
Impact Factor: 1.0
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The Role of Artificial Intelligence in Medical Bacteriology: A Case Study
Abstract
Nabil Mehdi, Said Khallikane, Said Zouhair and Belkacem Chagar
This study evaluates the application of artificial intelligence (AI) in the classification of bacterial species within medical bacteriology. Utilizing the DIBaS (Digital Images of Bacteria Species) database from the Jagiellonian University in Kraków, Poland, this research focuses on Enterococcus and Lactobacillus species, demonstrating the efficacy of AI in diagnostic applications. Results indicate an accuracy rate exceeding 80% for Enterococcus and over 90% for Lactobacillus, highlighting AI's potential as a rapid and reliable tool for bacterial identification in clinical settings.