1. Artificial Intelligence in Pathology: A Simple and Practical Guide
- Author
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John L Blau, Robert S. Ohgami, Kaushik Sridhar, Amol Singh, and Keluo Yao
- Subjects
0301 basic medicine ,Pathology ,medicine.medical_specialty ,business.industry ,Computer science ,High-Throughput Nucleotide Sequencing ,GeneralLiterature_MISCELLANEOUS ,Field (computer science) ,Pathology and Forensic Medicine ,Terminology ,Machine Learning ,03 medical and health sciences ,ComputingMethodologies_PATTERNRECOGNITION ,030104 developmental biology ,0302 clinical medicine ,Artificial Intelligence ,030220 oncology & carcinogenesis ,Digital image analysis ,medicine ,Humans ,Artificial intelligence ,Anatomy ,business ,Simple (philosophy) - 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.
- Published
- 2020
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