Volume 8, Issue 3 (2023)
SJMR 2023, 8(3): 145-156 |
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Saremi A, Abbasi B, Karimi-MansoorAbad E, Ashourian Y. Revolutionizing Emergency Medicine: A Comprehensive Review of Artificial Intelligence Applications and Their Impact. SJMR 2023; 8 (3) : 2
URL: http://saremjrm.com/article-1-304-en.html
URL: http://saremjrm.com/article-1-304-en.html
1- Sarem Gynecology, Obstetrics and Infertility Research Center, Sarem Women's Hospital, Iran University of Medical Sciences (IUMS), Tehran, Iran. & Sarem Cell Research Center (SCRC), Sarem Women’s Hospital, Tehran, Iran.
2- Department of Medical Genetics, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
2- Department of Medical Genetics, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Abstract: (896 Views)
The integration of Artificial Intelligence (AI) into the field of emergency medicine has ushered in a transformative era in healthcare. This narrative review provides a comprehensive overview of the impact of AI on emergency medicine, spanning historical developments, current applications, and future prospects. AI technologies such as machine learning, natural language processing, and computer vision are revolutionizing the way emergency departments operate. From rapid patient triage and early diagnosis to informed decision-making and resource allocation, AI is enhancing patient care and streamlining hospital workflows. While AI offers immense benefits, it also presents challenges related to data privacy, bias, regulation, and ethical considerations. Through real-world case studies and success stories, this review showcases the tangible benefits of AI adoption in emergency medicine. As we delve into the future, emerging trends and research gaps underscore the potential for AI to further optimize emergency healthcare delivery. This narrative review aims to shed light on the multifaceted landscape of AI in emergency medicine, emphasizing its role as a catalyst for improved patient outcomes and more efficient healthcare systems.
Article number: 2
Article Type: Systematical Review |
Subject:
Health and safety
Received: 2023/11/6 | Accepted: 2024/07/30 | Published: 2024/07/30
Received: 2023/11/6 | Accepted: 2024/07/30 | Published: 2024/07/30
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