Mini Review Open Access

A Swiss Knife for EMS: Artificial Intelligence Embedded Tablets and Drones

Abstract

Emergency medicine is an incredibly diverse career, and there is no doubt of the multiple functions that a single member of a veteran emergency medical services team will need to be capable of. Artificial intelligence has emerged as an important and challenging subject of research in computer science in the past few years. With a significant number of students and researchers studying it frequently, advancement in this area is progressing rapidly. Most research has documented the use of artificial intelligence in emergency medicine, namely in the form of glasses. However, there is a significant demand for a comprehensive utility-based product that can be used by an EMS team. The main objective of this paper is to describe the functions of an EMS team, complement those functions with different features on a theoretical AI embedded tablet designed just for EMS, and to see whether it is even possible as a whole. This paper will be citing secondary data as its main source of claims. To be able to properly implement such an invention will allow us to solve issues within emergency medicine concerning inefficient communications and dangerous situations quicker. The conclusion of this paper is that applications of artificial intelligence to make the turbulent jobs of EMS any better with inventions should be a paramount mission of researchers in computer science and medicine.

Kenneth Yuyo Lin*

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