Acil Tıpta Yapay Zeka: Tanım, Tarihçe ve Güncel Durum

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Referanslar

Kunt MM, Karaca MA, Erbil B, Akpınar E. Acil Tıp Ve Yapay Zeka. Anatolian J Emerg Med 2021;4(3):114-117.

Ertürk, Z. K., & Ertürk, B. (2021). Acil tıpta yapay zeka. Aksaray Üniversitesi Tıp Bilimleri Dergisi, 2(2), 40-41.

Chenais, G. (2023). Artificial Intelligence in Emergency Medicine: Viewpoint. Journal of Medical Internet Research, 25, e40031

Friedman, A. B., Delgado, M. K., & Weissman, G. E. (2024). Artificial intelligence for emergency care triage—Much promise, but still much to learn. JAMA Network Open, 7(5), e248857-e248857.

Sartini, M., Carbone, A., Demartini, A., Giribone, L., Oliva, M., Spagnolo, A. M., & Cristina, M. L. (2022, August). Overcrowding in emergency department: causes, consequences, and solutions—a narrative review. In Healthcare (Vol. 10, No. 9, p. 1625). MDPI.

Sun, L., Agarwal, A., Kornblith, A., Yu, B., & Xiong, C. (2024). Ed-copilot: Reduce emergency department wait time with language model diagnostic assistance. arXiv preprint arXiv:2402.13448.

Vural, O., Ozaydin, B., Aram, K. Y., Booth, J., Lindsey, B. F., & Ahmed, A. (2025). An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study. arXiv preprint arXiv:2504.18578.

Shortliffe, E. H., Davis, R., Axline, S. G., Buchanan, B. G., Green, C. C., & Cohen, S. N. (1975). Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system. Computers and biomedical research, 8(4), 303-320.

Berk, A A. LISP: the Language of Artificial Intelligence. New York: Van Nostrand Reinhold Company, 1985. 1-25.

Limon, Ö. (2025). A bibliometric analysis of clinical studies on artificial intelligence and machine learning in emergency departments. Medicine Journal.

Correia, G., Alves, V., & Novais, P. (2025). The Impact of Artificial Intelligence on Emergency Medicine: A Review of Recent Advances. arXiv preprint arXiv:2503.14546.

Ozkaya, E., Topal, F. E., Bulut, T., Gursoy, M., Ozuysal, M., & Karakaya, Z. (2022). Evaluation of an artificial intelligence system for diagnosing scaphoid fracture on direct radiography. European Journal of Trauma and Emergency Surgery, 48(1), 585-592.

Shamout, F. E., Shen, Y., Wu, N., Kaku, A., Park, J., Makino, T., ... & Geras, K. J. (2021). An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. NPJ digital medicine, 4(1), 80.

Conforti, R. (2024). Informatics in Emergency Medicine: A Literature Review. Emergency Care and Medicine, 2(1), 2.

Buess, L., Keicher, M., Navab, N., Maier, A., & Tayebi Arasteh, S. (2025). From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine. Biomedical Engineering Letters, 1-19.

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