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Artificial intelligence and machine learning in emergency medicine.

Authors :
Stewart, Jonathon
Sprivulis, Peter
Dwivedi, Girish
Source :
Emergency Medicine Australasia. Dec2018, Vol. 30 Issue 6, p870-874. 5p.
Publication Year :
2018

Abstract

Interest in artificial intelligence (AI) research has grown rapidly over the past few years, in part thanks to the numerous successes of modern machine learning techniques such as deep learning, the availability of large datasets and improvements in computing power. AI is proving to be increasingly applicable to healthcare and there is a growing list of tasks where algorithms have matched or surpassed physician performance. Despite the successes there remain significant concerns and challenges surrounding algorithm opacity, trust and patient data security. Notwithstanding these challenges, AI technologies will likely become increasingly integrated into emergency medicine in the coming years. This perspective presents an overview of current AI research relevant to emergency medicine. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17426731
Volume :
30
Issue :
6
Database :
Academic Search Index
Journal :
Emergency Medicine Australasia
Publication Type :
Academic Journal
Accession number :
133095118
Full Text :
https://doi.org/10.1111/1742-6723.13145