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

Title

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

Creator

Laura Vearrier
Arthur R Derse
Jesse B Basford
Gregory Luke Larkin
John C Moskop

Date

2022

Description

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.

Source

J Emerg Med
. 2022 Apr;62(4):492-499. doi: 10.1016/j.jemermed.2022.01.001. Epub 2022 Feb 11.

Language

English

Citation

Laura Vearrier et al., “Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations,” NEOMED Bibliography Database, accessed May 23, 2024, https://neomed.omeka.net/items/show/12029.