Revolutionizing Microbial Infection Diagnosis: The Role of Artificial Intelligence.

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. [ABSTRACT FROM AUTHOR]