RESEARCH
Harnessing Artificial Intelligence for Emergency Medicine Research and Scholarship SAEM PULSE | JANUARY-FEBRUARY 2026
By Shaila Quazi, DO; Edward Durant, MD; Andrew Mittelman, MD; Erin L. Simon, DO; and Joshua Davis, MD, on behalf of the SAEM Research Committee Subcommittee
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Introduction
Emergency medicine has always been defined by its information density, but today’s digital scale is unprecedented. PubMed alone adds nearly one million biomedical papers annually—about two every minute. For academics, efficiently managing this influx can be daunting. Beyond PubMed and Cochrane, researchers must also navigate repositories and preprint archives that are not consistently indexed. This article highlights practical, artificial intelligence–based tools
that can help emergency medicine researchers manage the deluge of digital information.
Promise and Peril
A growing body of literature explores the benefits and risks of artificial intelligence in medicine. Sallam’s 2023 systematic review outlined several advantages, including improved scientific writing (particularly for non-native English speakers), streamlined literature analysis, clinical workflow support, and innovative applications in medical education. Recent
evaluations of large language models on clinical research and systematic review tasks show encouraging but inconsistent results. These findings suggest that artificial intelligence can augment research efficiency but remains imperfect, requiring expert oversight and validation.
Finding and Triaging Literature
Keeping pace with new publications may be the most time-consuming task in academic emergency medicine. Artificial intelligence– enabled search and review tools