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Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations.
J Emerg Med. 2022 Apr;62(4):492-499. doi: 10.1016/j.jemermed.2022.01.001. Epub 2022 Feb 11.
J Emerg Med. 2022.
PMID: 35164977
BACKGROUND: Artificial intelligence (AI) can be described as the use of computers to perform tasks that formerly required human cognition. The American Medical Association prefers the term 'augmented intelligence' over 'artificial intelligence' to emphasize the assistive r …
BACKGROUND: Artificial intelligence (AI) can be described as the use of computers to perform tasks that formerly required human cognition. T …
Emergency department crowding, part 1--concept, causes, and moral consequences.
Moskop JC, Sklar DP, Geiderman JM, Schears RM, Bookman KJ.
Moskop JC, et al.
Ann Emerg Med. 2009 May;53(5):605-11. doi: 10.1016/j.annemergmed.2008.09.019. Epub 2008 Nov 22.
Ann Emerg Med. 2009.
PMID: 19027193
Review.
Part 1 begins with a discussion of terms used to describe this situation and proposes that the term "crowding" be preferred to "overcrowding." The article discusses definitions, measures, and causes of ED crowding and concludes that the inability to transfer emergency pati …
Part 1 begins with a discussion of terms used to describe this situation and proposes that the term "crowding" be preferred to "overc …
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Determination of "futility" in emergency medicine.
Marco CA, Larkin GL, Moskop JC, Derse AR.
Marco CA, et al. Among authors: moskop jc.
Ann Emerg Med. 2000 Jun;35(6):604-12.
Ann Emerg Med. 2000.
PMID: 10828774
Review.
At times, certain interventions and therapies may be considered "futile," or of low expected likelihood of benefit to the patient. Various interpretations of the term "futility" and its practical application to the practice of emergency medicine are explored, as well as ba …
At times, certain interventions and therapies may be considered "futile," or of low expected likelihood of benefit to the patient. Various i …
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