Artificial Intelligence in Pathology

• Main Authors: Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo, Sanghun Lee, Joonyoung Cho, Sun Woo Kim, Tae-Yeong Kwak
• Format: Article
• Language: English
• Published: Korean Society of Pathologists & the Korean Society for Cytopathology 2019-01-01
• Series: Journal of Pathology and Translational Medicine
• Subjects: Artificial intelligence; Deep learning; Pathology; Image analysis
• Online Access: http://www.jpatholtm.org/upload/pdf/jptm-2018-12-16.pdf

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.