Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities

118.3K

views

155

authors

26

articles

Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities

118.3K

views

155

authors

26

articles

Editorial

22 August 2024

Editorial: Artificial intelligence solutions for global health and disaster response: challenges and opportunities

Dmytro Chumachenko

,

Plinio Pelegrini Morita

,

Saman Ghaffarian

and

Tetyana Chumachenko

2,393 views

4 citations

Editors

4

Dmytro Chumachenko

National Aerospace University – Kharkiv Aviation Institute

Tetyana Chumachenko

Kharkiv National Medical University

Plinio Pelegrini Morita

University of Waterloo

Saman Ghaffarian

University College London

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About

Artificial intelligence (AI) has shown promise as an effective tool in disaster preparedness and response, providing a unique perspective on some of the most urgent health challenges. Rapid advances in AI technology can potentially revolutionize the way how we respond to emergencies and disasters that affect the world's health, including early warning systems, resource allocation, and real-time decision-making.

This Research Topic aims to explore the latest developments in AI and its applications in global health and disaster response, providing a comprehensive overview of the potential and challenges of AI in improving health outcomes in crises. This Research Topic will bring together leading researchers, practitioners, and policymakers in global health and disaster response to share their experiences and insights on how AI can be leveraged to improve response efforts and enhance healthcare delivery.

The scope of this Research Topic covers a wide range of topics of great relevance to global health and disaster response. These include but are not limited to the following:
• AI-powered early warning systems and risk assessment;
• AI-supported resource allocation and decision-making;
• AI in epidemiological surveillance and outbreak management;
• AI in disaster response and humanitarian aid;
• AI in mental health and psychosocial support in crises;
• AI for health equity and access to care in low-resource settings;
• Ethical, legal, and social implications of AI in global health and disaster response;
• Integration of AI with other digital health technologies in crisis response.

The papers in this collection will explore how AI can improve response efforts, predict and prevent outbreaks, enhance healthcare delivery, and promote health equity in crises. It will provide a comprehensive overview of the current state of AI in global health and disaster response, its potential to improve health outcomes, and the challenges and limitations of this rapidly evolving field. The Research Topic will serve as a valuable resource for researchers, practitioners, and policymakers interested in understanding AI's impact on global health and disaster response and exploring its potential to shape the future of crisis response.

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Editors

Dmytro Chumachenko

National Aerospace University – Kharkiv Aviation Institute

Tetyana Chumachenko

Kharkiv National Medical University

Plinio Pelegrini Morita

University of Waterloo

Saman Ghaffarian

University College London

Impact

118,330 Total views

83,874 Article views

30,744 Article downloads

3,712 Topic views

Published In

Frontiers in Public Health

Disaster and Emergency Medicine, Health Economics, Digital Public Health

Frontiers in ICT

Digital Public Health

Frontiers in Computer Science

Digital Public Health

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