Introduction: most of the digital pathology applications are related to oncology, although some recent models have been proposed to evaluate their usefulness in the histopathological diagnosis of microorganisms. Material and Methods: this review included 10 articles published in English, centered around the histopathological diagnosis of microorganisms and the different artificial intelligence (AI) models. Discussion: the designed AI models have been tested for diagnosing Helicobacter pylori, Mycobacterium tuberculosis, Aspergillus, Mucorales and microorganisms causing onychomycosis. Conclusions: the use of artificial intelligence in the histopathological diagnosis of microorganisms is recommended as an emerging field which assists the pathologist coordinating the different models, thus optimizing his function, and improving workflows and effectiveness levels.