Cross Approach Between Modern Artificial Intelligence and Emergency Medicine: A Review

The emergency department (ED) is an intricate facet of the healthcare system, including hospital and prehospital entities that interact closely to make quick and accurate decisions. Therefore, it is the initial point of interaction between medical professionals and individuals presenting an array of symptoms. Emergency physicians face several challenges, such as long hospital stays, diagnostic complexities, waiting times, and appropriate resource allocation dilemmas that arise from traditional medical practices. Furthermore, the COVID-19 pandemic has underscored the limitation of traditional healthcare methods and symbolic Artificial Intelligence (AI), emphasizing the imperative need for solutions rooted in contemporary AI. The integration of modern AI into the sphere of Emergency Medicine (EM) provides promising insight into the future of emergency care, but few articles highlight these advances. The main objective of this scoping review is to provide the community with the importance of the cross-approach between modern AI and EM by highlighting all the hidden advances, limitations, and progress that can be made to improve ED. We also scrutinize modern AI systems, algorithms, and their complexity, as well as the ethics associated with using this cutting-edge technology in EM.