Current Applications, Challenges, and Future Directions of Artificial Intelligence in Emergency Medicine: A Narrative Review

Current Applications, Challenges, and Future Directions of Artificial Intelligence in Emergency Medicine: A Narrative Review

Artificial intelligence (AI) systems have witnessed notable advancements, revolutionizing various fields of research and medicine. Specifically, advancements of AI and the rapid growth of machine learning hold immense potential to significantly impact emergency medicine. This narrative review aimed...

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Bibliographic Details
Main Authors: Mehrdad Farrokhi, Amir H Fallahian, Erfan Rahmani, Ali Aghajan, Morteza Alipour, Parisa Jafari Khouzani, Hossein Boustani Hezarani, Hamed Sabzehie, Mohammad Pirouzan, Zahra Pirouzan, Behnaz Dalvandi, Reza Dalvandi, Parisa Doroudgar, Habib Azimi, Fatemeh Moradi, Amitis Nozari, Maryam Sharifi, Hamed Ghorbani, Sara Moghimi, Fatemeh Azarkish, Soheil Bolandi, Hooman Esfahani, Sara Hosseinmirzaei, Arezou Niknam, Farzaneh Nikfarjam, Parham Talebi Boroujeni, Mahyar Noorbakhsh, Parham Rahmani, Fatemeh Rostamian Motlagh, Khadijeh Harati, Masoud Farrokhi, Sina Talebi, Lida Zare Lahijan
Format: Article
Language:English
Published: Shahid Beheshti University of Medical Sciences 2025-05-01
Series:Archives of Academic Emergency Medicine
Subjects:
Artificial Intelligence
Data Science
Deep Learning
Emergency Medicine
Machine Learning
Prediction Algorithms
Online Access:https://journals.sbmu.ac.ir/aaem/index.php/AAEM/article/view/2712
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