Artificial Intelligence in Pathology

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 p...

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Detalles Bibliográficos
Autores principales: Chang, Hye Yoon, Jung, Chan Kwon, Woo, Junwoo Isaac, Lee, Sanghun, Cho, Joonyoung, Kim, Sun Woo, Kwak, Tae-Yeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Pathologists and the Korean Society for Cytopathology 2019
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6344799/
https://www.ncbi.nlm.nih.gov/pubmed/30599506
http://dx.doi.org/10.4132/jptm.2018.12.16
Descripción
Sumario: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.

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