Big data, artificial intelligence, and structured reporting
Abstract The past few years have seen a considerable rise in interest towards artificial intelligence and machine learning applications in radiology. However, in order for such systems to perform adequately, large amounts of training data are required. These data should ideally be standardised and o...
Main Authors: | Daniel Pinto dos Santos, Bettina Baeßler |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-12-01
|
Series: | European Radiology Experimental |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s41747-018-0071-4 |
Similar Items
-
Artificial Intelligence in Radiology—Ethical Considerations
by: Adrian P. Brady, et al.
Published: (2020-04-01) -
Artificial intelligence abstracts from the European Congress of Radiology: analysis of topics and compliance with the STARD for abstracts checklist
by: Thomas Dratsch, et al.
Published: (2020-04-01) -
Artificial Intelligence: Radiology practiced by Radiologists: Chronicle of an announced death?
by: Ángeles Franco-López
Published: (2018-10-01) -
Imaging Informatics: A New Horizon for Radiology in the Era of Artificial Intelligence, Big Data, and Data Science
by: Jong Hyo Kim
Published: (2019-03-01) -
Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement
by: J. Raymond Geis, et al.
Published: (2019-10-01)