Vol 9, No 3 (2024)
Letter to the Editor
Published online: 2024-08-02

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Large language models in emergency medicine: potential and challenges

Natasza Blek1, Bartosz Wojciech Maj2, Karolina Mikolap1
Disaster Emerg Med J 2024;9(3):140-142.

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References

  1. Preiksaitis C, Ashenburg N, Bunney G, et al. The role of large language models in transforming emergency medicine: scoping review. JMIR Med Inform. 2024; 12: e53787.
  2. Lee S, Lee J, Park J, et al. Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage. Am J Emerg Med. 2024; 77: 29–38.
  3. Paslı S, Şahin AS, Beşer MF, et al. Assessing the precision of artificial intelligence in ED triage decisions: Insights from a study with ChatGPT. Am J Emerg Med. 2024; 78: 170–175.
  4. Oktay M, Boğan M, Sabak M, et al. Assessment of the homophobic attitudes of the emergency department professionals: descriptive survey study. Disaster Emerg Med J. 2021; 6(3): 119–124.
  5. Bradshaw JC. The chatgpt era: artificial intelligence in emergency medicine. Ann Emerg Med. 2023; 81(6): 764–765.
  6. Infante A, Gaudino S, Orsini F, et al. Large language models (LLMs) in the evaluation of emergency radiology reports: performance of ChatGPT-4, Perplexity, and Bard. Clin Radiol. 2024; 79(2): 102–106.
  7. Ashenburg N, Preiksaitis C, Dayton J, et al. 312 when AI meets the emergency department: realizing the benefits of large language models in emergency medicine. Ann Emerg Med. 2023; 82(4): S136.
  8. Petrella RJ. The AI future of emergency medicine. Ann Emerg Med. 2024; 84(2): 139–153.
  9. Cheng R, Aggarwal A, Chakraborty A, et al. Implementation considerations for the adoption of artificial intelligence in the emergency department. Am J Emerg Med. 2024; 82: 75–81.
  10. Gonczaryk A, Chmielewski J, Strzelecka A, et al. Occupational hazards in the consciousness of the paramedic in emergency medical service. Disaster Emerg Med. 2022; 7(3): 182–190.
  11. Gonczaryk A, Sady N, Motyl M, et al. Prevalence of sleep disturbances among emergency response team paramedics working in shift systems. Disaster Emerg Med J. 2023; 8(1): 1–9.
  12. Akin GC, Olcay Z, Yildrim M, et al. Effects of occupational safety performance on work engagement of emergency workers: mediating role of job satisfaction. Disaster Emerg Med J. 2024; 9(1): 23–35.