1 Department of Emergency Medicine, Alaaddin Keykubat University, Antalya, Türkiye.
2 Department of Pathology, Alaaddin Keykubat University, Antalya, Türkiye.
3 Department of Emergency Medicine, Ondokuzmayıs University, Samsun, Turkey.
World Journal of Advanced Research and Reviews, 2025, 25(02), 745-747
Article DOI: 10.30574/wjarr.2025.25.2.4034
Received on 23 November 2024; revised on 02 February 2025; accepted on 05 February 2025
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.
Artificial Intelligence; Chat GPT; Emergency Medicine; Literature
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Ali Kemal ERENLER, Behice Hande ERENLER and Ahmet BAYDIN. An analysis of artificial intelligence articles published in the American Journal of Emergency Medicine in 2024. World Journal of Advanced Research and Reviews, 2025, 25(02), 745-747. Article DOI: https://doi.org/10.30574/wjarr.2025.25.2.4034.
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