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Artificial Intelligence in Pathology

Chang, Hye Yoon , Jung, Chan Kwon , Woo, Junwoo Isaac , Lee, Sanghun , Cho, Joonyoung , Kim, Sun Woo , Kwak, Tae-Yeong , et al

ISLA — Instituto Politécnico de Gestão e Tecnologia

Journal of Pathology and Translational Medicine, 2019

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.

Keywords

#artificial intelligence in pathology #Deep Learning #pattern recognition #disease diagnosis #outcome prediction #Artificial Intelligence #Applications of artificial intelligence #Field (mathematics)

Bibliographic Details

Publication Type Journal article

Publication Year 2019

Journal / Conference / Work Journal of Pathology and Translational Medicine

ISSN 1738-1843

ISLA Authors & Affiliations

Artificial Intelligence in Pathology

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Keywords

Bibliographic Details

ISLA Authors & Affiliations