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JPTM > Volume 53(1); 2019 > Article
Journal of Pathology and Translational Medicine 2019;53(1): 1-12.
doi: https://doi.org/10.4132/jptm.2018.12.16
Artificial Intelligence in Pathology
Hye Yoon Chang1 , Chan Kwon Jung2 , Junwoo Isaac Woo1 , Sanghun Lee1 , Joonyoung Cho1 , Sun Woo Kim1 , Tae-Yeong Kwak1
1Deep Bio Inc., Seoul, Korea
2Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea
Corresponding Author: Tae-Yeong Kwak ,Tel: +82-70-7703-4746, Fax: +82-2-2621-2223, Email: tykwak@deepbio.co.kr
Received: December 13, 2018;  Accepted: December 16, 2018.  Published online: December 28, 2018.
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 byincorporating clinical, radiologic, and genomic data to accurately diagnose diseases and predictpatient prognoses. In this review, we present an overview of artificial intelligence, the brief historyof artificial intelligence in the medical domain, recent advances in artificial intelligence applied topathology, and future prospects of pathology driven by artificial intelligence.
Key Words: Artificial intelligence; Deep learning; Pathology; Image analysis
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