Revolutionizing Microbial Infection Diagnosis: The Role of Artificial Intelligence

Hossainpour, Hadi; Mahmoudi, Hassan

doi:10.30699/ijmm.18.2.66

year 18, Issue 2 (March - April 2024) Iran J Med Microbiol 2024, 18(2): 66-79 | Back to browse issues page

‎ 10.30699/ijmm.18.2.66

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Hossainpour H, Mahmoudi H. Revolutionizing Microbial Infection Diagnosis: The Role of Artificial Intelligence. Iran J Med Microbiol 2024; 18 (2) :66-79
URL: http://ijmm.ir/article-1-2313-en.html

Revolutionizing Microbial Infection Diagnosis: The Role of Artificial Intelligence

Hadi Hossainpour¹

, Hassan Mahmoudi²

1- Department of Microbiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran & Student Research Committee, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
2- Department of Microbiology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran & Nahavand School of Allied Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran , Hassanmahmoudi24@gmail.com

Abstract: (1542 Views)

Artificial intelligence (AI), described as computer algorithms that exhibit cognitive characteristics like learning abilities, now affecting our lives in many areas. In the medical field, AI-supported image analysis has already taken on a central role in pathology, radiology and dermatology. The policy of this review consisted of peer-reviewed literature annotated in the Web of Science, Scopus, PubMed and Google Scholar databases. Articles were reviewed that describe the use of AI to analyze images to diagnose infectious diseases. Digitization in healthcare is already having a profound impact on patients. It is expected that the development that has started will continue to gain momentum. Machine learning is fundamentally changing the way we interact with health-related data, including clinical microbiology and infectious disease data. We will likely transition from the Internet of Things environment to the Internet of Bodies with devices and providing detailed health data even in disease-free times. The focus of this study was to review current views on attempts to apply AI methods in daily practice, as well as to search for promising methods to diagnose infectious diseases in the most efficient way.

Keywords: Infectious Diseases, Artificial intelligence, Diagnosis Healthcare, Clinical Microbiology

Full-Text [PDF 741 kb] (1012 Downloads) | | Full-Text (HTML) (341 Views)

Type of Study: Systematic Review | Subject: Artificial Intelligence
Received: 2024/01/29 | Accepted: 2024/05/20 | ePublished: 2024/05/25

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