The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review
JMIR Medical Informatics2024Vol. 12, pp. e53787–e53787
Citations Over TimeTop 10% of 2024 papers
Carl Preiksaitis, Nicholas Ashenburg, Gabrielle Bunney, Andrew Chu, Rana Kabeer, Fran Riley, Ryan Ribeira, Christian Rose
Abstract
LLMs have the potential to fundamentally transform EM, enhancing clinical decision-making, optimizing workflows, and improving patient outcomes. This review sets the stage for future advancements by identifying key research areas: prospective validation of LLM applications, establishing standards for responsible use, understanding provider and patient perceptions, and improving physicians' AI literacy. Effective integration of LLMs into EM will require collaborative efforts and thorough evaluation to ensure these technologies can be safely and effectively applied.
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