Artificial Intelligence in Pathology
Journal of Pathology and Translational Medicine
; : 1-12, 2019.
Article
in En
| WPRIM
| ID: wpr-741214
Responsible library:
WPRO
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 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.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Pathology
/
Prognosis
/
Artificial Intelligence
Type of study:
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Journal of Pathology and Translational Medicine
Year:
2019
Type:
Article