Volume : 11, Issue : 12, December – 2024
Title:
ARTIFICIAL INTELLIGENCE IN PREHOSPITAL EMERGENCY CARE: A LITERATURE REVIEW
Authors :
Ahmed Ali Alghamdi, Saeed Ali Alkatheri, Abdulrahman Jameel Aljohani, Fahad Ali Madkhali, Ayman Jamaan Alomary, Attieh Yahya Alzahrani, Sharaf Ahmed Muhammad AL Munimi, Sultan Ateq Abdullmain Albeshri, Waleed Ghoneim Mohammed Al-Jahdali, Saber Obaid Alotaibi
Abstract :
This literature review investigates the transformative impact of artificial intelligence (AI) on prehospital emergency care, focusing on its applications in diagnosis, triage, and patient management. By synthesizing recent studies, the review highlights how AI technologies, especially machine learning and deep learning, significantly enhance diagnostic accuracy, optimize triage processes, and improve patient outcomes in critical situations. For instance, AI can assist in identifying life-threatening conditions more rapidly and accurately than traditional methods. However, the implementation of AI in emergency medicine is not without challenges. Key obstacles include regulatory hurdles, concerns about data privacy, and the necessity for robust clinical validation to ensure reliability and safety. Moreover, existing literature reveals gaps regarding long-term outcomes and multidisciplinary perspectives on AI integration. This review aims to provide a comprehensive overview of the current landscape of AI applications in emergency medicine, emphasizing the need for continued research to address these challenges. By identifying potential future research directions, it seeks to promote the responsible and effective incorporation of AI technologies into clinical practice, ultimately enhancing patient care and operational efficiency in emergency settings.
Keywords: Artificial Intelligence, Emergency Medicine, Triage, Diagnostic Accuracy, Machine Learning
Cite This Article:
Please cite this article in press Ahmed Ali Alghamdi et al., Artificial Intelligence In Prehospital Emergency Care: A Literature Review.,Indo Am. J. P. Sci, 2024; 11 (12).
Number of Downloads : 10
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