Artificial Intelligence and Mainframing in Virtual Pathology

Digitizing the figures and tissue illustrations with tissue microarrays result in a high definition, high perseverance, overly magnified, multiple carbon-copies for study. The large volume of data generated would also require a streamlined and an accomplished data management system for repository, comparative scrutiny, and meta-analysis. The terrain covered with the deported replicas and telepathology/telemedicine includes teleconsultations, education, quality control, research, datasets and depots. Convenience to the virtual images are focusing on unevenly sampled areas, high resolution at specific areas of interest, components that are visibly discernible may be available by systematic analysis at a cellular and subcellular level and can generate a vast amount of information which could remain underutilized. Detailed characterization of whole slides at a micro-anatomic and morphological level with maximizing colour contrast, optimal brightness and resolution with an insistence on speed, accuracy, good quality yields information for tumour prognostication, prediction, classification, grading etc. An effort is needed to keep the images artifact free. Also there is a lack of universally acceptable formatting and guidelines. Enhancement in image quality, scan times and integration of image viewing browsers are also necessitated. The virtual analogues also depend upon clear cut regulations, validation guidelines, good medical practice, incorporation in the mainstream, standardization and modification, ensuring a cost-effective service with a potential for furtherance (Figure 1).