About this Research Topic
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.
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.
Keywords: artificial intelligence, public health, global health, disaster response, risk assessment
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
