Year: 2021
Type: review
Abstract: One of the major obstacles in reaching diagnostic consensus is observer variability. With the recent success of artificial intelligence, particularly the deep networks, the question emerges as to whether the fundamental challenge of diagnostic imaging can now be resolved. This article briefly reviews the problem and how eventually both supervised and unsupervised AI technologies could help to overcome it.
Source: American Journal Of Pathology
Institutions: University of Waterloo, University of Toronto, McMaster University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $2,800
Funder: Government of Ontario
OpenAlex ID: W3132213428