| Literature DB >> 30014578 |
Jonathon Stewart1, Peter Sprivulis1, Girish Dwivedi1.
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.Entities:
Keywords: artificial intelligence; deep learning; emergency medicine; machine learning
Mesh:
Year: 2018 PMID: 30014578 DOI: 10.1111/1742-6723.13145
Source DB: PubMed Journal: Emerg Med Australas ISSN: 1742-6723 Impact factor: 2.151