An analysis of artificial intelligence articles published in the American Journal of Emergency Medicine in 2024

ERENLER, Ali Kemal and ERENLER, Behice Hande and BAYDIN, Ahmet (2025) An analysis of artificial intelligence articles published in the American Journal of Emergency Medicine in 2024. World Journal of Advanced Research and Reviews, 25 (2). pp. 745-747. ISSN 2581-9615

Combination of emergency medicine practice and artificial intelligence (AI) has a potential to revolutionize and reshape health systems through computer-based systems. Generative artificial intelligence (AI) integrated programs such as Chat Generative Pre-trained Transformers (ChatGPT) are becoming more widespread in educational and clinical settings. AI-based tools used in emergency medicine, such as machine learning algorithms and ChatGPT, have already demonstrated their capacity to improve diagnostic accuracy and accelerate the early identification of diseases, resulting in more timely interventions and more favorable patient outcomes. As the number of researches on combination of AI with clinical settings increases, the number of publications on this field increases simultaneously. As a leading publisher in Emergency Medicine, the American Journal of Emergency Medicine (AJEM) plays a pivotal role for progression of AI studies. In this article, we aimed to reveal the support AJEM provides to the literature through AI articles.