Tam HL, Chung SF, Lou CK. A review of triage accuracy and future direction. BMC Emerg Med. 2018;18:58. https://doi.org/10.1186/s1287301802150.
Article PubMed PubMed Central Google Scholar
Raita Y, Goto T, Faridi MK, et al. Emergency department triage prediction of clinical outcomes using machine learning models. Crit Care. 2019;23(1):64. https://doi.org/10.1186/s1305401923517.
Article PubMed PubMed Central Google Scholar
Peta D, Day A, Lugari WS, et al. Triage: a global perspective. J Emerg Nurs. 2023;49(6):814–25. https://doi.org/10.1016/j.jen.2023.08.004.
Iserson KV, Moskop JC. Triage in medicine part I: concept, history and types. Ann Emerg Med. 2007;49(3):275–81. https://doi.org/10.1016/j.annemergmed.2006.05.019.
Imperato J, Morris DS, Sanchez LD, Setnik G. Improving patient satisfaction by adding a physician in triage. J Hosp Adm. 2013;3(1):7. https://doi.org/10.5430/jha.v3n1p7.
Suamchaiyaphum K, Jones AR, Markaki A. Triage accuracy of emergency nurses: An evidence-based review. J Emerg Nurs. 2024;50(1):44-54. https://doi.org/10.1016/j.jen.2023.10.001.
Cordeiro Stone M, Atashian C, Felton D, et al. Improving emergency department efficiency: Decreasing wait times by redistribution of physician staffing. Ann Emerg Med. 2019;74(4). https://doi.org/10.1016/j.annemergmed.2019.08.120.
Bijani M, Khaleghi AA. Challenges and barriers affecting the quality of triage in emergency departments: a qualitative study. Galen Med J. 2019;8:e1619. https://doi.org/10.31661/gmj.v8i0.1619.
Article PubMed PubMed Central Google Scholar
Hinson JS, Taylor RA, Vankatesh A, et al. Accelerated chest pain treatment with artificial intelligence–informed, risk-driven triage. JAMA Intern Med. 2024;184(9):1125–7. https://doi.org/10.1001/jamainternmed.2024.3219.
Article PubMed PubMed Central Google Scholar
Tahernejad A, Sahebi A, Abadi ASS, et al. Application of artificial intelligence in triage in emergencies and disasters: a systematic review. BMC Public Health. 2024;24(1):3203. https://doi.org/10.1186/s12889-024-20447-3.
Article PubMed PubMed Central Google Scholar
Arnaud E, Elbattah M, Ammirati C, et al. Use of artificial intelligence to manage patient flow in emergency department during the Covid-19 pandemic: A prospective, signle-center study. Int J Environ Res Public Health. 2022;19(15):9667. https://doi.org/10.3390/ijerph19159667.
Article CAS PubMed PubMed Central Google Scholar
Ivanov O, Molander K, Dunne R et al. Detection of sepsis during emergency department triage using machine learning. arXiv [csLG]. Pub online Jun 2023. http://arxiv.org/abs/2204.07657
Khan IA, Karim HMR, Panda CK, et al. Atypical presentations of myocardial infarction: A systematic review of case reports. Cureus. 2023;15(2):e35492. https://doi.org/10.7759/cureus.35492.
Article PubMed PubMed Central Google Scholar
Yousefi Z, Feizollahzadeh H, Shahsavarinia K, et al. The impact of team triage method on emergency department performance indexes: A quasi-interventional study. Int J Appl Basic Med Res. 2023;13(3):168-174. https://doi.org/10.4103/ijabmr.ijabmr_614_22.
Nyxe A, Gandhi S, Freeze B, et al. Association of emergency department waiting times with patient experience in admitted and discharged patients. J Patient Exp. 2021;8. https://doi.org/10.1177/23743735211011404.
Murray NM, Unberath M, Hager GD, Hui FK. Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review. J Neurointerv Surg. 2020;12(2):156–64. https://doi.org/10.1136/neurintsurg-2019-015135.
Chen J, Wu X, Li M, et al. EE-Explorer: A Multimodal Artificial Intelligence System for Eye Emergency Triage and Primary Diagnosis. Am J Ophthalmol. 2023;252:253–64. https://doi.org/10.1016/j.ajo.2023.04.007.
Hilgendorf L, Petursson P, Gupta V, et al. Predicting troponin biomarker elevation from electrocardiograms using a deep neural network. Open Heart. 2024;11(2):e002937. https://doi.org/10.1136/openhrt-2024-002937.
Article PubMed PubMed Central Google Scholar
Ivanov O, Wolf L, Brecher D, et al. Improving ED emergency severity index acuity assignment using machine learning and clinical natural language processing. J Emrg Nurs. 2020;47(2):265–e2787. https://doi.org/10.1016/j.jen.2020.11.001.
Sun L, Agarwal A, Kornblith A, et al. ED-copilot: Reduce emergency department wait time with language model diagnostic assistance. arXiv. 2024. https://doi.org/10.48550/arXiv.2402.13448.
Article PubMed PubMed Central Google Scholar
Zaboli A, Brigo F, Brigiari G, et al. Chat-GPT in triage: Still far from surpassing human expertise – An observational study. Am J Emerg Med. 2025;92:165–71. https://doi.org/10.1016/j.ajem.2025.03.028.
Seo JW, Park SJ, Kim YJ, Kim JY, Kim KG, Yoon YH. Artificial intelligence for severity triage based on conversations in an emergency department in Korea. Sci Rep. 2025;15(1):16870. Published 2025 May 15. https://doi.org/10.1038/s41598-025-99874-0.
Yi N, Baik D, Baek G. The effects of applying artificial intelligence to triage in the emergency department: a systematic review of prospective studies. J Nurs Scholarsh. 2025;57(1):105–18. https://doi.org/10.1111/jnu.13024.
Gundlack J, Thiel C, Negash S, et al. Patients’ perceptions of artificial intelligence acceptance, challenges, and use in medical care: qualitative study. J Med Internet Res. 2025;27:e70487. https://doi.org/10.2196/70487.
Article PubMed PubMed Central Google Scholar
Curzon J, Kosa TA, Akalu R, et al. Privacy and artificial intelligence. IEEE Trans Artif Intell. 2021;2(2):96–108. https://doi.org/10.1109/tai.2021.3088084.
Thian YL, Ng DW, Hallinan JTPD, et al. Effect of training data volume on performance of convolutional neural network pneumothorax classifiers. J Digit Imaging. 2022;35(4):881–92. https://doi.org/10.1007/s10278-022-00594-y.
Article PubMed PubMed Central Google Scholar
Koteluk O, Wartecki, Mazurek A, et al. How do machines learn? Artificial intelligence as a new era in medicine. Dig J Pers Med. 2021;11(1):32. https://doi.org/10.3390/jpm11010032.
Ohaiba MM, Anamazobi EG, Okobi OE, et al. Trends and patterns in emergency department visits: a comprehensive analysis of adult data from the national center for health statistics (NCHS) database. Cureus. 2024;16(8):e66059. https://doi.org/10.7759/cureus.66059.
Article PubMed PubMed Central Google Scholar
Manti S, Licari A. How to obtain informed consent for research. Breathe (Sheff). 2018;14(2):145–52. https://doi.org/10.1183/20734735.001918.
Article PubMed PubMed Central Google Scholar
Hinson JS, Levin SR, Steinhart BD, et al. Enhancing emergency department triage equity with artificial intelligence: outcomes from a multisite implementation. Ann Emerg Med. 2025;85(3):288–90. https://doi.org/10.1016/j.annemergmed.2024.10.014.
Wang H, Sambamoorthi N, Hoot N, et al. Evaluating fairness of machine learning prediction of prolonged wait times in emergency department with interpretable eXtreme gradient boosting. PLoS Digit Health. 2025;4(3):e0000751. https://doi.org/10.1371/journal.pdig.0000751.
Article PubMed PubMed Central Google Scholar
Zheng J, Zhang T. Association between AI awareness and emotional exhaustion: the serial mediation of job insecurity and work interference with family. Behav Sci. 2025;15(4):401. https://doi.org/10.3390/bs15040401.
Article PubMed PubMed Central Google Scholar
Kim BJ, Kim MJ. How artificial intelligence-induced job insecurity shapes knowledge dynamics: the mitigating role of artificial intelligence self-efficacy. Journal of Innovation & Knowledge. 2024;9(4):100590. https://doi.org/10.1016/j.jik.2024.100590.
Jarvis PRE. Improving emergency department patient flow. Clin Exp Emerg Med. 2024;3(2):63–8. https://doi.org/10.15441/ceem.16.127.
Friedman AB, Delgado MK, Weissman GE. Artificial intelligence for emergency care triage—much promise, but still much to learn. JAMA Netw Open. 2024;7(5):e248857. https://doi.org/10.1001/jamanetworkopen.2024.8857.
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