Aim:
Background: Artificial intelligence, defined as computer algorithms with cognitive properties like capacity for eruditeness, is currently having a significant impact on many aspects of our life. AI-assisted image analysis is already a vital component of radiology, dermatology, and pathology in the medical industry. Aims: to examine current perspectives on initiatives to identify viable approaches for more accurate diagnosis of infectious diseases. The main objective of this study was to examine current perspectives on initiatives to identify viable approaches for more accurate diagnosis of infectious diseases.

Material and methods:
Materials and methods: Indexed databases, such as EMBASE, Scopus, and PubMed/Medline, and online searches were performed. Cross-referencing of important articles led to additional references. This study reviews important clinical applications and provides an overview of several Artificial intelligence algorithms used in diagnosis of diseases caused by pathogenic microorganisms.

Results:
Results: Application of Artificial intelligence to image analysis and infectious disease detection was addressed in evaluated research. Patients are already experiencing effects of digitalization of healthcare. Current progress is expected to continue to accelerate. The way we handle health-related data, such as infectious disease and clinical microbiology data, is changing dramatically due to machine learning. Despite absence of diseases, we are likely to move from Internet of things to Internet of body environment where devices provide a wealth of health data.

Conclusions:
Conclusion: Artificial intelligence technologies could be used in nearly every area of medicine. Before these new technologies may be used in actual clinical settings, more carefully planned clinical trials are required.