Computational pathology builds on digital pathology by using advanced algorithms and technologies such as artificial intelligence (AI) and machine learning (ML) to analyze digital images of tissue samples scanned from the microscope. It enhances the interpretation of pathology data by automating image analysis, identifying patterns, and offering predictive insights that can help pathologists make more accurate diagnoses and predictions.
