Digital pathology and artificial intelligence in diagnostic pathology

Currently, digital pathology is a profound transformation in the field of pathology. Numerous artificial intelligence (AI) algorithms have demonstrated significant potential for the improvement of diagnostic efficiency, morphometric analysis of biomarkers, and diagnostic screening. However, the application of AI in pathology is a matter of considerable worry among pathologists. Within this article, we provided a concise overview of the process of digital pathology and deep learning in diagnostic pathology. Additionally, we explored the advantages and uses, obstacles and constraints, and future potential of artificial intelligence in diagnostic pathology. The implementation of innovative AI-based methods in pathology laboratory processes will enhance the effectiveness of disease diagnosis, as the collaboration between pathologists and AI systems has demonstrated superior performance compared to both the individual pathologist and the system. Nevertheless, pathologists continue to be crucial in the finalisation of the diagnosis.