Introduction: In recent years, much attention has been paid to the use of new technologies, such as artificial intelligence, in the clinic. Artificial intelligence can play an effective role in the diagnosis, monitoring, prognosis determination, and post-discharge follow-up of patients and hospital visitors. Therefore, in this review, the various applications of artificial intelligence in patients referred to the emergency department were discussed.Methods: The present study is a review study. To this end, a search was conducted in information resources such as PubMed, Sciencedirect, SID and Scopus between 2018 and 2025. The search was based on suitable search terms for each database. In this review, after the initial evaluation, the studies were screened and similar studies were separated and studied. Inclusion criteria included experimental studies, clinical trials, and research published in reputable journals, published between 2018 and 2025, directly focused on the applications of artificial intelligence in the emergency department or topics related to the keywords. Exclusion criteria included review articles, editorials, letters, newsletters, gray literature and non-reputable publications, studies older than 2018, and articles that were not directly related to the topic or had unsatisfactory data. The results were summarized and presented qualitatively. Finally, 60 articles were classified and reviewed in six main axes.Results: There exists high potential for improvement of quality in the emergency department by artificial intelligence. Artificial intelligence may play an effective role in such important and vital emergency activities as patient triage, participation in personalized diagnostic and treatment processes for people visiting the emergency department, in patient classification and assessment, interpretation of radiological images, and assessment of patient prognosis.Conclusion: Artificial intelligence can make big strides in this arena. Artificial intelligence may be used for faster and more accurate diagnosis through clinical data, medical images, and other information of a patient. On the other hand, artificial intelligence can provide the best treatment options based on the unique characteristics of every patient, thereby increasing the effectiveness of therapeutic interventions and can also provide the basis for reducing some human errors in diagnosis and treatment. This technology saves time and resources in the emergency room, hence improving workflow. It improves patient care by continuous monitoring of the condition of the patients.