This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (569) Artificial Intelligence (1751) Clinical Information and Decision Making (1663) Viewpoints on and Experiences with Digital Technologies in Health (88)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40031, first published .
Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges

Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges

Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges

Authors of this article:

Gabrielle Chenais1 Author Orcid Image ;   Emmanuel Lagarde1 Author Orcid Image ;   Cédric Gil-Jardiné1, 2 Author Orcid Image
Article Authors Cited by (36) Tweetations (17) Metrics

Journals

  1. Chan T. Specialty grand challenge: emergency health services. Frontiers in Disaster and Emergency Medicine 2023;1 View
  2. Hsueh J, Fritz C, Thomas C, Reimer A, Reisner A, Schoenfeld D, Haimovich A, Thomas S. Applications of Artificial Intelligence in Helicopter Emergency Medical Services: A Scoping Review. Air Medical Journal 2024;43(2):90 View
  3. Saatchi R, Ramlakhan S. Infrared Thermal Imaging Analysis in Screening for Toddler’s Fracture: A Proof-of-Concept Study. Applied Sciences 2023;13(24):13299 View
  4. Li H, Hayward J, Aguilar L, Franc J. Desired clinical applications of artificial intelligence in emergency medicine: A Delphi study. The American Journal of Emergency Medicine 2024;79:217 View
  5. Ahmadzadeh B, Patey C, Hurley O, Knight J, Norman P, Farrell A, Czarnuch S, Asghari S. Applications of Artificial Intelligence in Emergency Departments to Improve Wait Times: Protocol for an Integrative Living Review. JMIR Research Protocols 2024;13:e52612 View
  6. Nwanaji-Enwerem J, Ehrhardt T, Gordon B, Meyer H, Cardell A, Selby M, Wallace B, Gittinger M, Siegelman J. Considering Burnout and Well-Being: Emergency Medicine Resident Shift Scheduling Platform and Satisfaction Insights from a Quality Improvement Project. Healthcare 2024;12(6):612 View
  7. Preiksaitis C, Ashenburg N, Bunney G, Chu A, Kabeer R, Riley F, Ribeira R, Rose C. The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review. JMIR Medical Informatics 2024;12:e53787 View
  8. Tyler S, Olis M, Aust N, Patel L, Simon L, Triantafyllidis C, Patel V, Lee D, Ginsberg B, Ahmad H, Jacobs R. Use of Artificial Intelligence in Triage in Hospital Emergency Departments: A Scoping Review. Cureus 2024 View
  9. Cheng R, Aggarwal A, Chakraborty A, Harish V, McGowan M, Roy A, Szulewski A, Nolan B. Implementation considerations for the adoption of artificial intelligence in the emergency department. The American Journal of Emergency Medicine 2024;82:75 View
  10. Röhrs K, Audebert H. Pre-Hospital Stroke Care beyond the MSU. Current Neurology and Neuroscience Reports 2024;24(8):315 View
  11. Strehlow M, Alvarez A, Blomkalns A, Caretta‐Wyer H, Gharahbaghian L, Imler D, Khan A, Lee M, Lobo V, Newberry J, Ribeira R, Sebok‐Syer S, Shen S, Gisondi M. Precision emergency medicine. Academic Emergency Medicine 2024;31(11):1150 View
  12. . Einsatz von Künstlicher Intelligenz in der Notaufnahme. Notaufnahme up2date 2024;06(03):215 View
  13. Garrido N, González-Martínez F, Losada S, Plaza A, del Olmo E, Mateo J. Innovation through Artificial Intelligence in Triage Systems for Resource Optimization in Future Pandemics. Biomimetics 2024;9(7):440 View
  14. Angler Y, Lossin A, Goetz O. The importance of discrete event simulation as a methodology for per-formance evaluation in the emergency department. Emergency Care Journal 2024 View
  15. Alsabri M, Aderinto N, Mourid M, Laique F, Zhang S, Shaban N, Shubietah A, Gamboa L. Artificial Intelligence for Pediatric Emergency Medicine. Journal of Medicine, Surgery, and Public Health 2024;3:100137 View
  16. Goparaju N. Picture This: Text-to-Image Models Transforming Pediatric Emergency Medicine. Annals of Emergency Medicine 2024;84(6):651 View
  17. Bienefeld N, Keller E, Grote G. AI Interventions to Alleviate Healthcare Shortages and Enhance Work Conditions in Critical Care: Qualitative Analysis. Journal of Medical Internet Research 2025;27:e50852 View
  18. Ates Ö, Pandey G, Gousiopoulos A, Soldatos T. A brief reference to AI-driven audible reality (AuRa) in open world: potential, applications, and evaluation. Frontiers in Artificial Intelligence 2024;7 View
  19. Heymann E, Lim R, Maskalyk J, Pulfrey S, Chun S, Osei-Ampofo M, deSouza K, Landes M, Lang E. Emergency medicine: a global perspective on its past, evolution, and future. Internal and Emergency Medicine 2024 View
  20. Othman D, Kaleem A. The Intraoperative Role of Artificial Intelligence Within General Surgery: A Systematic Review. Cureus 2024 View
  21. Glicksman M, Wang S, Yellapragada S, Robinson C, Orhurhu V, Emerick T. Artificial intelligence and pain medicine education: Benefits and pitfalls for the medical trainee. Pain Practice 2025;25(1) View
  22. Emami P. Artificial Intelligence in Air Medical Transport within Emergency Medical Service (EMS). Disaster Medicine and Public Health Preparedness 2024;18 View
  23. 叶 瑜. Preoperative Diagnosis of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma. Advances in Clinical Medicine 2024;14(12):1036 View
  24. Morey J, Schupbach J, Jones D, Walker L, Lindor R, Loufek B, Mullan A, Cabrera D. FDA-reviewed artificial intelligence-enabled products applicable to emergency medicine. The American Journal of Emergency Medicine 2025;89:241 View
  25. Tomczyk Ł, Kulesza Z. COMPUTER IMPLEMENTATION OF INTELLIGENT MEDICAL RESCUE OPERATIONS MANAGEMENT SYSTEM IN MASS CASUALTY INCIDENTS. Zeszyty Naukowe SGSP 2024;1(92):193 View
  26. Onyejesi C, Del Castillo Miranda J, Abdelbar S, Aziz M, Abady E, Omran J, Zehra A, Alsabri M. Challenges and innovations in diagnosing nonphysical child abuse in pediatric emergency departments. Pediatric Emergency Medicine Journal 2025;12(1):1 View
  27. Ho B, Lu M, Wang X, Butler R, Park J, Ren D. Evaluation of Generative Artificial Intelligence Models in Predicting Pediatric Emergency Severity Index Levels. Pediatric Emergency Care 2025;41(4):251 View
  28. Cogiel K, Osikowicz M, Kronenberg M, Janik K, Męcik-Kronenberg T. Problems in the actions of medical responders regarding older adults in the context of COVID-19: yesterday, today, and tomorrow. Emergency Medical Service 2024;11(4):236 View
  29. Shinohara N, Nakamura S, Maruyama T, Ohno R, Honda O. Collaboration Between Emergency Medicine and Radiology in Regional Hospitals Improves Initial Diagnosis Accuracy: A Descriptive Study With Case Series. Cureus 2025 View
  30. Rodrigues Alessi M, Gomes H, Oliveira G, Lopes de Castro M, Grenteski F, Miyashiro L, do Valle C, Tozzini Tavares da Silva L, Okamoto C. Comparative Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4.0 in Answering Questions From a Brazilian National Medical Exam: Cross-Sectional Questionnaire Study. JMIR AI 2025;4:e66552 View
  31. Caviglia M. Bridging Data Gaps in Emergency Care: The NIGHTINGALE Project and the Future of AI in Mass Casualty Management. Journal of Medical Internet Research 2025;27:e67318 View
  32. Sun Y, Wang L, Zhang P, Zheng Y. Optimization of prehospital emergency care processes based on 5G technology: Experience from Xiaoshan District, Hangzhou. Asian Journal of Surgery 2025 View
  33. Mohammad Talebi H. Analyzing the Strengths, Weaknesses, Opportunities, and Threats (SWOT) of Chatbots in Emergency Nursing: A Narrative Review of Literature. Creative Nursing 2025 View

Books/Policy Documents

  1. Buijs E, Maggioni E, Carrafiello G. Artificial Intelligence. View

Conference Proceedings

  1. Dong M, Zhu B, Zhao J, Song J. 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD). Cloud Based AIVR Training System for Emergency Rescue View
  2. Hejazinia R, Heydari Z. 2025 11th International Conference on Web Research (ICWR). Identifying the Challenges of Using Artificial Intelligence in Providing Healthcare Services: A Systematic Review View