Application of AI in Digital Pathology

A recent burst of research in artificial intelligence acts as an exciting boon to medical education and clinical decision making. Advancement in digital pathology approaches with artificial intelligence paved a way to mine information beyond the visual perception of human beings. Digital pathology creates an environment based on visuals which aids in collecting inputs, easy management, and prompt interpretation of pathology data through various computational techniques. Data collected for analysis should be easily accessible, without compatibility issues that leads to innovation and knowledge discovery. Advances in medical image technology enhances the quality of medical images leading to better understanding of images which contributes to early diagnosis of disease. In visual fields such as cytopathology, current artificial intelligence application plays a vital role in early disease diagnosis and enhances diagnostic performance by untethering cytologists from the microscopic examination of pathology samples. The aim of this book chapter is to provide an overview of key concepts, benefits, opportunities, and challenges of adopting artificial intelligence in clinical decision making from both engineering and pathology perspectives.