Artificial Intelligence and Digital Pathology Synergy: For detailed, accurate and predictive analysis of WSIs

Abstract

Pathology is the most important branch of Medical Science which fundamentally concerns the origin, cause, and nature of the disease. This domain contributes the most important part of the diagnostic infrastructure. The pathological examination includes examining, Tissues, Organs, Body fluids. In this examination, the tissue is fixed on a glass slide by certain procedures and then observed under a microscope for disease. Now with technological advancement, the traditional pathological operation is getting evolved and emerged as Digital pathology. Digital pathology comprises the digitalization of Histopathological slides using a Whole-slide scanner which is a microscope under robotic and computer control and analysing these digitalized images or whole-slide image using a Computational approach. This digitalization creates a high-resolution, enhanced pixel image of pathological specimen that ultimately generates a tremendous amount of data up to gigabytes per biopsy. Because of algorithmic advancement and more convenient computing power, in the past few decades, Artificial Intelligence and machine learning have spread their roots into healthcare and clinical applications. And artificial intelligence and digital pathology synergy is one of the examples of these two fields intersection. This synergy will have majestic results in Diagnostic, prognostic, and predictive analysis of Whole-slide images.