- Title: Subtitle
- The Use of Artificial Intelligence to Predict the On-Scene Return of Spontaneous Circulation in the Out-of-Hospital Setting: A Time to Do More for Cardiac Arrest?
- Creators
- Sangil Lee - Department of Emergency Medicine, The University of Iowa Carver College of Medicine, Iowa City, IAMasashi Okubo - University of Pittsburgh School of Medicine
- Resource Type
- Editorial
- Publication Details
- Annals of emergency medicine, Vol.79(2), pp.145-147
- DOI
- 10.1016/j.annemergmed.2021.10.016
- PMID
- 34863527
- NLM abbreviation
- Ann Emerg Med
- ISSN
- 0196-0644
- eISSN
- 1097-6760
- Publisher
- Elsevier Inc
- Grant note
- RE2020-0000000114 / Society for Academic Emergency Medicine Foundation Research Large Project Grant 18CDA34110042 / American Heart Association Career Development Award 2 U1QHP287310400 / HRSA (http://dx.doi.org/10.13039/100000102)
- Language
- English
- Date published
- 02/2022
- Academic Unit
- Emergency Medicine; Injury Prevention Research Center
- Record Identifier
- 9984296982402771
Editorial
The Use of Artificial Intelligence to Predict the On-Scene Return of Spontaneous Circulation in the Out-of-Hospital Setting: A Time to Do More for Cardiac Arrest?
Annals of emergency medicine, Vol.79(2), pp.145-147
02/2022
DOI: 10.1016/j.annemergmed.2021.10.016
PMID: 34863527
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