Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations

被引:17
|
作者
Vearrier, Laura [1 ]
Derse, Arthur R. [2 ,3 ]
Basford, Jesse B. [4 ,5 ]
Larkin, Gregory Luke [6 ]
Moskop, John C. [7 ]
机构
[1] Univ Mississippi, Dept Emergency Med, Med Ctr, 2500 N State St, Jackson, MS 39216 USA
[2] Med Coll Wisconsin, Ctr Bioeth, Med Humanities, Wauwatosa, WI USA
[3] Med Coll Wisconsin, Dept Emergency Med, Wauwatosa, WI USA
[4] Alabama Coll Osteopath Med, Dept Family, Dothan, AL USA
[5] Alabama Coll Osteopath Med, Dept Emergency Med, Dothan, AL USA
[6] Northeast Ohio Med Univ, Dept Emergency Med, Rootstown, OH USA
[7] Wake Forest Sch Med, Dept Internal Med, Winston Salem, NC 27101 USA
来源
JOURNAL OF EMERGENCY MEDICINE | 2022年 / 62卷 / 04期
关键词
artificial intelligence; physician-patient relations; emergency medicine; information technology; machine learning; big data; bioethics; humanism; HEALTH-CARE; ELECTROCARDIOGRAM INTERPRETATION; CONFIDENTIALITY; CLASSIFICATION; PRIVACY; TRIAGE; HIPAA; BIAS;
D O I
10.1016/j.jemermed.2022.01.001
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
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 role of computers in enhancing physician skills as opposed to replacing them. The integration of AI into emergency medicine, and clinical practice at large, has increased in recent years, and that trend is likely to continue. Discussion: AI has demonstrated substantial potential benefit for physicians and patients. These benefits are transforming the therapeutic relationship from the traditional physician-patient dyad into a triadic doctor-patient-machine relationship. New AI technologies, however, require careful vetting, legal standards, patient safeguards, and provider education. Emergency physicians (EPs) should recognize the limits and risks of AI as well as its potential benefits. Conclusions: EPs must learn to partner with, not capitulate to, AI. AI has proven to be superior to, or on a par with, certain physician skills, such as interpreting radiographs and making diagnoses based on visual cues, such as skin cancer. AI can provide cognitive assistance, but EPs must interpret AI results within the clinical context of individual patients. They must also advocate for patient confidentiality, professional liability coverage, and the essential role of specialty-trained EPs. (C) 2022 Published by Elsevier Inc.
引用
收藏
页码:492 / 499
页数:8
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