Application of artificial intelligence based algorithms in microbiology: challenges and benefits

Background and Aim : Artificial intelligence (AI) as a proven technique has the potential to make us more accurate, more efficient, and even could help us draw new conclusions from data generated in microbiology area. AI algorithms has been applied to every microbiology domain including virology, bacteriology, mycology and parasitology. Therefore, it is important to study the challenges and benefits of these intelligence and expert systems. Methods : This review article aims to discuss the opportunities and challenges associated with application of AI algorithms in Microbiology. PubMed, Ovid Medline, and Embase were the sources of research in this article.Results : Using treatment or diagnostic datasets in microbiology, the machine learning algorithms recognize patterns and underlying data structure for prediction or classification in disease outbreaks, diagnosing microorganisms causing infectious diseases, and antimicrobial drug resistance. The use of intelligence algorithms (such as artificial neural networks) has been rapidly advancing in the automated blood culture instruments, colony morphology recognizing, colony counting and genome sequencing. The current development efforts are focused on automating the interpretation of primary cultures. The cost, technology limitations, modeling of medical knowledge, clinical data entry, accuracy of the systems and the methods to validate the systems are some challenges in this field.Conclusion : Artificial intelligence as a golden opportunity is beginning to be used in microbiology and is already assisting laboratory staff and researcher with certain aspects of diagnostic, prediction and classification of disease. However, increased research efforts need to be made to solve the limitations of this fields.

کلیدواژه ها:

Artificial Intelligence ، Algorithm ، Microbiology