Artificial Intelligence in Emergency Medicine: Surmountable Barriers With Revolutionary Potential

Ann Emerg Med. 2020 Jun;75(6):721-726. doi: 10.1016/j.annemergmed.2019.12.024. Epub 2020 Feb 21.

Authors

Kiran Grant¹, Aidan McParland¹, Shaun Mehta², Alun D Ackery³

Affiliations

¹ Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
² Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
³ Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Emergency Medicine, St. Michael's Hospital, Toronto, Ontario, Canada. Electronic address: alun.ackery@unityhealth.to.

PMID: 32093974
DOI: 10.1016/j.annemergmed.2019.12.024

No abstract available

MeSH terms

Artificial Intelligence / legislation & jurisprudence
Artificial Intelligence / trends*
Canada / epidemiology
Deep Learning / trends
Delivery of Health Care / trends
Emergency Medicine / trends*
Emergency Service, Hospital / organization & administration*
Humans
Neural Networks, Computer
Patient-Centered Care / ethics
Triage / methods
United States / epidemiology
United States Food and Drug Administration / legislation & jurisprudence*
United States Food and Drug Administration / organization & administration