Digital pathology is on its way to becoming a widespread alternative for routine diagnostics. Rapid whole slide image scanning has accelerated this advancement, but large-scale implementation is complex on technical, logistical, and financial levels. Although validation studies have published encouraging data on safety and feasibility, implementation experiences highlight the importance of training and knowledge of possible consequences. International pathology organisations' guidelines are intended to safeguard digital pathology, from image capture to long-term image archiving, but they should only be viewed as a starting point. Cost-efficiency reviews and occupational health issues must be thoroughly addressed. Image analysis is incorporated into traditional work processes, and the recognition of artificial intelligence for routine diagnostics has begun challenging human evaluation as the gold standard. This paper reviews the current state of digital pathology applications, the main concerns from past implementations, and future possibilities through the addition of artificial intelligence.
"The Role of Digital Pathology for Histological Diagnosis,"
International Undergraduate Journal of Health Sciences: Vol. 3:
1, Article 5.
Available at: https://sword.cit.ie/iujhs/vol3/iss1/5