About this Research Topic
The integration of artificial intelligence (AI) in emergency health services represents a burgeoning field within healthcare, offering transformative potential in crisis management and disaster medicine. AI technologies are increasingly being leveraged to rapidly identify emergency medical conditions, provide diagnostic and treatment recommendations, and analyze large datasets to assess disaster impacts. These technologies enhance search and rescue operations, manage traffic during emergencies, and facilitate real-time data flow and communication for emergency managers and rescue teams. Despite these advancements, there remains a critical need for further exploration to ensure that AI can support accurate and swift decision-making during emergencies, ultimately improving public health outcomes. Current research highlights the diverse applications of AI, including machine learning, image processing, natural language processing, and big data analysis, yet also underscores the necessity for more comprehensive studies to address ethical concerns and security issues associated with AI deployment in emergency scenarios.
This research topic aims to investigate the multifaceted applications of AI technologies in emergency healthcare settings, with a focus on evaluating their effectiveness, addressing security and ethical concerns, and promoting their safe and ethical use. By examining these aspects, the research seeks to answer pivotal questions regarding the current and future roles of AI in emergency health services, the potential trends and innovations in AI applications, and the implications of these technologies on patient care and safety during crises.
To gather further insights in the application of AI in emergency health services, we welcome articles addressing, but not limited to, the following themes:
- Current and future uses of artificial intelligence technologies in emergency healthcare
- Potential trends and innovations in AI applications for crisis management
- Security concerns and ethical issues in the deployment of AI technologies
- Effectiveness and efficiency of AI applications in emergency scenarios
- Case studies and real-world applications of AI in disaster medicine
- Strategies for integrating AI technologies into existing emergency management frameworks.
This research topic aims to investigate the multifaceted applications of AI technologies in emergency healthcare settings, with a focus on evaluating their effectiveness, addressing security and ethical concerns, and promoting their safe and ethical use. By examining these aspects, the research seeks to answer pivotal questions regarding the current and future roles of AI in emergency health services, the potential trends and innovations in AI applications, and the implications of these technologies on patient care and safety during crises.
To gather further insights in the application of AI in emergency health services, we welcome articles addressing, but not limited to, the following themes:
- Current and future uses of artificial intelligence technologies in emergency healthcare
- Potential trends and innovations in AI applications for crisis management
- Security concerns and ethical issues in the deployment of AI technologies
- Effectiveness and efficiency of AI applications in emergency scenarios
- Case studies and real-world applications of AI in disaster medicine
- Strategies for integrating AI technologies into existing emergency management frameworks.
Keywords: AI, artificial intelligence, Emergency Health Services
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.
