Traditionally, pathologists examine tissue obtained through a biopsy (a sample of skin, blood, or other specimen taken from the body like a tumor) to diagnose cancer, determine the tumor type and stage, and identify biomarkers that not only indicate a patient’s likely response to certain treatments but also provide other clinical insights. Digital pathology enables innovative approaches to these assessments through the scanning and digitization of slides for storage, viewing, and analysis. Sometimes, analyses can include the use of computational pathology platforms with artificial intelligence (AI)/machine learning (ML) algorithms to aid the pathologist in tissue analysis (see Computational Pathology).
