Needs and expectations for artificial intelligence in emergency medicine according to Canadian physicians

被引:0
作者
Kyle W. Eastwood
Ronald May
Pantelis Andreou
Samina Abidi
Syed Sibte Raza Abidi
Osama M. Loubani
机构
[1] Dalhousie University,Department of Emergency Medicine
[2] Dalhousie University,Department of Community Health and Epidemiology
[3] Dalhousie University,NICHE Research Group, Faculty of Computer Science
来源
BMC Health Services Research | / 23卷
关键词
Artificial Intelligence; Needs-analysis; User-centered design; Emergency medicine; Survey;
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[1]  
Grant K(2020)Artificial intelligence in emergency medicine: surmountable barriers with revolutionary potential Ann Emerg Med. 75 721-6
[2]  
McParland A(2020)Machine Learning in Emergency Medicine: Keys to Future Success Acad Emerg Med. 28 263-267
[3]  
Mehta S(2020)Applications of artificial intelligence in the emergency department Emerg Radiol 27 355-358
[4]  
Ackery AD(2020)A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic Chaos Solitons Fractals 141 110337-12
[5]  
Taylor RA(2020)Artificial intelligence and machine learning applied at the point of care Front Pharmacol 11 1-71
[6]  
Haimovich AD(2020)Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey Radiologia Medica. 0123456789 63-18
[7]  
Moulik SK(2020)Artificial intelligence and the future of psychiatry: insights from a global physician survey Artif Intell Med. 102 101753-13
[8]  
Kotter N(2020)Artificial intelligence and the future of psychiatry: qualitative findings from a global physician survey Digit Health 6 1-13
[9]  
Fishman EK(2018)Computerization and the future of primary care: a survey of general practitioners in the UK PLoS One 13 1-1702
[10]  
Rasheed J(2022)Impact of accountability, training, and human factors on the use of artificial intelligence in healthcare: Exploring the perceptions of healthcare practitioners in the US Hum Fact Healthcare 2 100021-9