Journal of Pathology and Translational Medicine (대한병리학회지)

The Korean Society of Pathologists (대한병리학회)
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Artificial Intelligence in Pathology

  • Received : 2018.12.13
  • Accepted : 2018.12.16
  • Published : 2019.01.15
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Abstract

As in other domains, artificial intelligence is becoming increasingly important in medicine. In particular, deep learning-based pattern recognition methods can advance the field of pathology by incorporating clinical, radiologic, and genomic data to accurately diagnose diseases and predict patient prognoses. In this review, we present an overview of artificial intelligence, the brief history of artificial intelligence in the medical domain, recent advances in artificial intelligence applied to pathology, and future prospects of pathology driven by artificial intelligence.

Keywords

Acknowledgement

This study was approved by the Institutional Review Board of The Catholic University of Korea Seoul St. Mary's Hospital with a waiver of informed consent (KC18SNDI0512).

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