Online first
Letter to the Editor
Published online: 2024-08-02

open access

Page views 42
Article views/downloads 36
Get Citation

Connect on Social Media

Connect on Social Media

Artificial intelligence applicability in emergency departments — a new promising tool

Konrad Zarzecki1, Jakub Cecot2, Milosz Mandryk1, Jakub Plizga1, Agnieszka Gluszczyk1

Abstract

Not available

Article available in PDF format

View PDF Download PDF file

References

  1. Williams CYK, Zack T, Miao BY, et al. Use of a large language model to assess clinical acuity of adults in the emergency department. JAMA Netw Open. 2024; 7(5): e248895.
  2. 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.
  3. Meral G, Ateş S, Günay S, et al. Comparative analysis of ChatGPT, Gemini and emergency medicine specialist in ESI triage assessment. Am J Emerg Med. 2024; 81: 146–150.
  4. Lin CS, Liu WT, Tsai DJ, et al. AI-enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial. Nat Med. 2024; 30(5): 1461–1470.
  5. Günay S, Öztürk A, Özerol H, et al. Comparison of emergency medicine specialist, cardiologist, and chat-GPT in electrocardiography assessment. Am J Emerg Med. 2024; 80: 51–60.
  6. Huang J, Neill L, Wittbrodt M, et al. Generative artificial intelligence for chest radiograph interpretation in the emergency department. JAMA Netw Open. 2023; 6(10): e2336100.
  7. Katzman BD, Alabousi M, Islam N, et al. Deep learning for pneumothorax detection on chest radiograph: a diagnostic test accuracy systematic review and meta analysis. Can Assoc Radiol J. 2024; 75(3): 525–533.
  8. Chang CH, Chen CJ, Ma YS, et al. Real-time artificial intelligence predicts adverse outcomes in acute pancreatitis in the emergency department: comparison with clinical decision rule. Acad Emerg Med. 2024; 31(2): 149–155.
  9. Raheem A, Waheed S, Karim M, et al. Prediction of major adverse cardiac events in the emergency department using an artificial neural network with a systematic grid search. Int J Emerg Med. 2024; 17(1): 4.