Artificial Intelligence in Pathology: A Simple and Practical Guide
Keluo Yao, Amol Singh, Kaushik Sridhar, John Blau, Robert S. Ohgami
Abstract
Artificial intelligence (AI) is having an increasing impact on the field of pathology, as computation techniques allow computers to perform tasks previously performed by people. Here, we offer a simple and practical guide to AI methods used in pathology, such as digital image analysis, next-generation sequencing, and natural language processing. We not only provide a comprehensive review, but also discuss relevant history and future directions of AI in pathology. We additionally provide a short tabular dictionary of AI terminology which will help practicing pathologists and researchers to understand this field.
Topics & Concepts
Computer scienceTerminologyDigital pathologySimple (philosophy)Field (mathematics)Artificial intelligenceData sciencePathologyMedicinePhilosophyMathematicsPure mathematicsEpistemologyLinguisticsAI in cancer detectionRadiomics and Machine Learning in Medical ImagingColorectal Cancer Screening and Detection