 Digital pathology is becoming increasingly important in modern clinical practice due to the advancements in information technology. Artificial intelligence, AI, and machine learning, ML, have enabled the automation of image analysis and the extraction of valuable data from digital images. This data can be used to improve diagnostics and predict outcomes, as well as to develop new diagnostic algorithms and prediction models. This article was authored by Mihaila Moskulu, Roxana Moskulu, Christina Gina Daskulu, and others.