Artificial Intelligence Innovations and Applications in Trauma, Urgent and Emergency Care: Current and Prospects

Dear Colleagues,

Emergency medicine relies on specialised expertise and facilities to prevent, diagnose, monitor, and manage acute and urgent illnesses and injuries in all age groups. Clinicians in emergency medicine need to carry out timely assessment and treatment of patients to achieve optimum outcomes.

Recent innovations in artificial intelligence have provided exciting opportunities in emergency medicine for diagnosis, monitoring and management of a broad range of conditions. These innovations have the potential to improve patient care and treatment, reducing risk to patients, optimising resource allocation, and providing an improved experience for clinicians and their patients.

Artificial intelligence techniques are usually most effective when they can show transparency in their decision making. Furthermore, combinations of techniques such as neuro–fuzzy can build on the strengths of individual techniques. Adaptive systems with an ability to learn from their operating environment can assist with complex decision-making tasks, resulting in higher chances of patient surviving their trauma.

Data preparation methods such as feature selection and extraction, as well as statistical techniques to interpret the outputs, are important for effective applications of these techniques.

Artificial intelligence applications such as machine learning, fuzzy logic, neural computing, deep learning, genetic algorithms, expert systems, robotics, and natural language processing have been gaining popularity in emergency medicine. 

You are warmly invited to submit your original articles to the Special Issue “Artificial Intelligence Innovations and Applications in Trauma, Urgent and Emergency Care: Current and Prospects”.

Thank you.

Prof. Dr. Reza Saatchi
Prof. Dr. Derek P. Burke
Prof. Dr. Shammi Ramlakhan
Guest Editors

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