J Pathol Transl Med.  2019 Jan;53(1):1-12. 10.4132/jptm.2018.12.16.

Artificial Intelligence in Pathology

Affiliations
  • 1Deep Bio Inc., Seoul, Korea. tykwak@deepbio.co.kr
  • 2Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.

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.

Keyword

Artificial intelligence; Deep learning; Pathology; Image analysis
Full Text Links
  • JPTM
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2021 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr