Present and Future of Artificial Intelligence in Disaster Management

Abid, Sheikh Kamran; Chan, Shiau Wei; Sulaiman, Noralfishah; Bhatti, Uzair; Nazir, Umber

doi:10.1109/emctech58502.2023.10296991

Cited by 5 publications

(4 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AI is being utilized in various fields and industries, including disaster management. It is used in geospatial analysis, robotics, machine learning, and remote sensing, among others [20]. AI can provide quick and efficient responses characterized by increased speed, precision, and readiness in disaster management (Abid et al, 2023).…”

Section: Prediction and Mitigation Of Natural Disastersmentioning

confidence: 99%

“…It is used in geospatial analysis, robotics, machine learning, and remote sensing, among others [20]. AI can provide quick and efficient responses characterized by increased speed, precision, and readiness in disaster management (Abid et al, 2023). It can also improve planning and analysis capabilities, facilitate situational awareness, and accelerate recovery efforts [20].…”

Section: Prediction and Mitigation Of Natural Disastersmentioning

confidence: 99%

“…There exist multiple approaches in this field. AI algorithms can provide quick and efficient responses characterized by increased speed, precision, and readiness, improving decisionmaking in disaster management [20]. Utilizing remote sensing, geographic information systems, and AI analyses can improve planning and analysis capabilities, facilitate situational awareness, and accelerate recovery efforts [20].…”

Section: Forecasting the Likelihood And Severity Of Natural Disastersmentioning

confidence: 99%

“…AI algorithms can provide quick and efficient responses characterized by increased speed, precision, and readiness, improving decisionmaking in disaster management [20]. Utilizing remote sensing, geographic information systems, and AI analyses can improve planning and analysis capabilities, facilitate situational awareness, and accelerate recovery efforts [20]. AI can help address challenges in disaster management by integrating with climate modeling and traffic management systems, leading to more efficient systems for emergency management operators and improved resilience [59].…”

Section: Forecasting the Likelihood And Severity Of Natural Disastersmentioning

confidence: 99%

See 3 more Smart Citations

Machine learning methods in civil engineering: a systematic review

Kamolov

2024

AMCS

View full text Add to dashboard Cite

show abstract

Section: Prediction and Mitigation Of Natural Disastersmentioning

confidence: 99%

Section: Prediction and Mitigation Of Natural Disastersmentioning

confidence: 99%

Section: Forecasting the Likelihood And Severity Of Natural Disastersmentioning

confidence: 99%

Section: Forecasting the Likelihood And Severity Of Natural Disastersmentioning

confidence: 99%

See 2 more Smart Citations

Machine learning methods in civil engineering: a systematic review

Kamolov

2024

AMCS

View full text Add to dashboard Cite

show abstract

UCFTNet: multi-class dtection of city critical disaster information based on U-shaped cross fusion transformer

Shi,

Yang

2024

International Journal of Digital Earth

View full text Add to dashboard Cite

Strategies for Healthcare Disaster Management in the Context of Technology Innovation: the Case of Bulgaria

Vazov,

Kanazireva,

Grynko

et al. 2024

Med. perspekt.

View full text Add to dashboard Cite

In Bulgaria, integrating technology and innovation is crucial for advancing sustainable healthcare disaster management, enhancing disaster response and recovery, and minimizing long-term environmental and social impacts. The purpose of the study is to assess the impact of modern technological innovations on the effectiveness of disaster management in health care in Bulgaria with a focus on Health Information Systems (HIS), Telemedicine, Telehealth, e-Health, Electronic Health Records, Artificial Intelligence (AI), Public Communication Platforms, and Data Security and Privacy. These innovations, when integrated effectively, can significantly strengthen Bulgaria's preparedness and response capabilities, improving efficiency and reducing the environmental footprint of disaster interventions. Collaboration with technology experts, research institutions, and international organizations is essential for successful implementation. The research aims to assess how these technologies can enhance disaster management efficacy, adopting a methodical approach using Systematic Literature Reviews (SLRs). Systematic Literature Reviews (SLRs) utilize precise criteria for research selection and evaluation to reduce bias, systematically compiling and analyzing data from various studies to offer evidence-based insights. They are crucial for uncovering research gaps, indicating areas needing further exploration. Findings highlight the transformative potential of technology integration in streamlining communication, data management, and operational efficiency. The study underscores the urgent need for an integrated approach and a culture of innovation within the healthcare sector, emphasizing ongoing assessment and adaptation of technology-based strategies. While acknowledging limitations and calling for further research, the study provides valuable insights into Bulgaria's healthcare disaster management strategies and sets the stage for future investigations to refine and expand upon these strategies. It advocates for a strategic framework guiding the efficient integration of technology into disaster management, aiming for resilient and patient-centric healthcare systems.

show abstract

Present and Future of Artificial Intelligence in Disaster Management

Cited by 5 publications

References 63 publications

Machine learning methods in civil engineering: a systematic review

Machine learning methods in civil engineering: a systematic review

UCFTNet: multi-class dtection of city critical disaster information based on U-shaped cross fusion transformer

Strategies for Healthcare Disaster Management in the Context of Technology Innovation: the Case of Bulgaria

Contact Info

Product

Resources

About