Computational pathology is a research field that applies computational techniques, particularly artificial intelligence and machine learning, to the analysis of pathological data. It primarily focuses on the automated interpretation of digital pathology images to extract clinically relevant information, aiming to enhance diagnostic accuracy, efficiency, and objectivity in both clinical practice and biomedical research. Key characteristics include the development and application of algorithms for tasks such as image analysis, pattern recognition, classification, and prediction based on morphological features observed in tissues and cells. Its significance lies in its potential to transform diagnostic workflows, facilitate quantitative analysis of complex biological patterns, and contribute to the development of precision medicine.