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KMID : 1039420190530010001
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Journal of Pathology and Translational Medicine
2019 Volume.53 No. 1 p.1 ~ p.12
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Artificial Intelligence in Pathology
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Chang Hye-Yoon
Jung Chan-Kwon
Woo Jun-Woo Isaac
Lee Sang-Hun
Cho Joon-Young
Kim Sun-Woo
Kwak Tae-Yeong
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Abstract
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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.
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KEYWORD
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Artificial intelligence, Deep learning, Pathology, Image analysis
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