The use of artificial intelligence technologies in the field of healthcare is quite popular. Artificial intelligence technologies have a range of important applications in crisis management and disaster medicine, such as identifying emergency medical conditions rapidly to provide diagnosis and treatment recommendations, analyzing large datasets to assess the impact of disasters, improving and guiding search and rescue operations, managing traffic during emergencies, providing real-time data flow and communication to emergency managers and rescue teams, conducting risk assessments and predictions using large datasets, assisting in the effective management of hospital resources in healthcare services, and prioritizing patient care. They are also used to analyze social media posts to monitor people's needs and the development of events during disasters. There is a need for further exploration of the use of artificial intelligence technologies in this field so that accurate decisions can be made quickly during emergencies, and the potential benefits of improving and enhancing public health can be realized.
The use of artificial intelligence technologies in disasters and emergencies encompasses diversity and can be employed for various applications depending on the need. Commonly used artificial intelligence technologies in such use cases include machine learning, image processing, natural language processing, autonomous vehicles, traffic management, medical diagnosis and prediction, big data analysis, and remote sensing, among others. These artificial intelligence technologies are utilized to facilitate faster and more effective interventions, reduce risks, and enhance safety during disasters and emergencies. Today, the use of these technologies has become a significant tool in emergency management and crisis management.
Furthermore, the use of artificial intelligence technologies in this field can raise various ethical concerns and security issues. More research and evidence are needed to expand and improve the safe use of artificial intelligence technologies during emergencies. Therefore, conducting further research to examine the use of artificial intelligence technologies in emergencies, identifying their effectiveness, raising awareness about security concerns, and promoting their correct and ethical use are crucial.
We welcome articles that explore the use of AI technologies in emergency healthcare situations. Topics may include, but are not limited to:
• Current and future uses of artificial intelligence technologies
• Potential trends in artificial intelligence technologies
• Potential security concerns and ethical issues in artificial intelligence applications
• Effectiveness and efficiency of artificial intelligence applications.
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.
The use of artificial intelligence technologies in the field of healthcare is quite popular. Artificial intelligence technologies have a range of important applications in crisis management and disaster medicine, such as identifying emergency medical conditions rapidly to provide diagnosis and treatment recommendations, analyzing large datasets to assess the impact of disasters, improving and guiding search and rescue operations, managing traffic during emergencies, providing real-time data flow and communication to emergency managers and rescue teams, conducting risk assessments and predictions using large datasets, assisting in the effective management of hospital resources in healthcare services, and prioritizing patient care. They are also used to analyze social media posts to monitor people's needs and the development of events during disasters. There is a need for further exploration of the use of artificial intelligence technologies in this field so that accurate decisions can be made quickly during emergencies, and the potential benefits of improving and enhancing public health can be realized.
The use of artificial intelligence technologies in disasters and emergencies encompasses diversity and can be employed for various applications depending on the need. Commonly used artificial intelligence technologies in such use cases include machine learning, image processing, natural language processing, autonomous vehicles, traffic management, medical diagnosis and prediction, big data analysis, and remote sensing, among others. These artificial intelligence technologies are utilized to facilitate faster and more effective interventions, reduce risks, and enhance safety during disasters and emergencies. Today, the use of these technologies has become a significant tool in emergency management and crisis management.
Furthermore, the use of artificial intelligence technologies in this field can raise various ethical concerns and security issues. More research and evidence are needed to expand and improve the safe use of artificial intelligence technologies during emergencies. Therefore, conducting further research to examine the use of artificial intelligence technologies in emergencies, identifying their effectiveness, raising awareness about security concerns, and promoting their correct and ethical use are crucial.
We welcome articles that explore the use of AI technologies in emergency healthcare situations. Topics may include, but are not limited to:
• Current and future uses of artificial intelligence technologies
• Potential trends in artificial intelligence technologies
• Potential security concerns and ethical issues in artificial intelligence applications
• Effectiveness and efficiency of artificial intelligence applications.
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.