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:: Volume 2, Issue 4 (winter 2025) ::
Health Res Develop 2025, 2(4): 37-41 Back to browse issues page
Applying artificial intelligence to deal with the cold wave
Ameneh Marzban *
Department of Health in Disasters and Emergencies, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran , amenemarzban@yahoo.com
Abstract:   (77 Views)
Frost and related climatic changes pose serious threats to public health, food security, and economic stability. In this regard, artificial intelligence (AI) serves as an innovative tool playing a crucial role in predicting, managing, and mitigating the impacts of these phenomena. Machine learning models analyze diverse datasets to provide early warnings, while intelligent systems facilitate energy consumption optimization and healthcare services. However, challenges such as limited access to high-quality data, high costs, and privacy concerns remain significant barriers. To maximize the benefits of AI in combating frost, it is essential to develop models resilient to data scarcity, expand international collaborations, and conduct cost-benefit analyses of this technology. Investing in AI not only helps reduce the adverse effects of frost but also serves as a model for managing other climate crises.
Keywords: Artificial Intelligence, Frost, Crisis Management
Full-Text [PDF 498 kb]   (42 Downloads)    
Type of Study: Letter to editor | Subject: General
Received: 2025/01/14 | Accepted: 2025/03/10 | Published: 2025/01/29
References
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Marzban A. (2025). Applying artificial intelligence to deal with the cold wave. Health Res Develop. 2(4), 37-41.
URL: http://jhrd.trjums.ac.ir/article-1-92-en.html


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Volume 2, Issue 4 (winter 2025) Back to browse issues page
پژوهش و توسعه سلامت Health research and development
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