Artificial Intelligence and Machine Learning in Emergency Medicine
Kenneth Jian Wei Tang, Candice Ke En Ang, Theodoros Constantinides, V. Rajinikanth, U. Rajendra Acharya, Kang Hao Cheong
The advent of Artificial Intelligence (AI) has resulted in development of novel applications in a multitude of fields, such as in Medicine, to aid medical professionals in clinical diagnosis. Specifically, the field of Emergency Medicine has been of immense interest to researchers, with vast untapped potential for AI solutions to improve operational efficiencies and quality of healthcare. Aside from primary healthcare facilities, the Emergency Department serves as the first line of contact to patients, who often present with varying and undifferentiated symptoms. Several challenges faced by clinicians and patients alike, such as waiting times and diagnostic dilemmas, present opportunities for application of AI solutions. In this paper, we aim to summarise the applications of AI in the field of Emergency Medicine by reviewing recent developments in Emergency Department operations and in the clinical management of patients.
Read Full Article Here: https://doi.org/10.1016/j.bbe.2020.12.002