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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

AI-driven transformation of emergency medical services: A technical exploration

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Arun Kumar Palathumpattu Thankappan *

Cloudwick Technologies Inc, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 463-469

Article DOI: 10.30574/wjarr.2025.26.1.1062

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1062

Received on 25 February 2025; revised on 02 April 2025; accepted on 04 April 2025

The article delves into the transformative potential of artificial intelligence in emergency medical services, highlighting the critical intersection of advanced technologies and healthcare delivery. Intelligent systems are revolutionizing emergency medical responses through sophisticated algorithms, predictive modeling, and comprehensive data management strategies. By addressing fundamental challenges in healthcare accessibility, diagnostic accuracy, and resource allocation, these technological innovations promise to reshape emergency medical interventions fundamentally. The comprehensive examination reveals the profound impact of AI-driven solutions in creating more responsive, efficient, and patient-centered emergency medical ecosystems. 

Artificial Intelligence; Emergency Medical Services; Healthcare Technology; Predictive Modeling; Patient Care

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1062.pdf

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Arun Kumar Palathumpattu Thankappan. AI-driven transformation of emergency medical services: A technical exploration. World Journal of Advanced Research and Reviews, 2025, 26(01), 463-469. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1062.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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