Artificial Intelligence in Pathology: A Simple and Practical Guide.

Journal: Advances in anatomic pathology
Published Date: Nov 1, 2020

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.

Authors

  • Keluo Yao
    Department of Pathology & Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California; Enterprise Information Services, Cedars-Sinai, Los Angeles, California. Electronic address: keluo.yao@cshs.org.
  • Amol Singh
    Department of Computer Science, Stanford University, Stanford, CA.
  • Kaushik Sridhar
    Department of Pathology, University of California, San Francisco, San Francisco.
  • John L Blau
    Department of Pathology, University of Iowa, Iowa City, IA.
  • Robert S Ohgami
    Department of Pathology, University of California, San Francisco, San Francisco.

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