Artificial Intelligence and Machine Learning in Emergency Medicine
Article
Tang, Kenneth Jian Wei, Ang, Candice Ke En, Constantinides, Theodoros, Rajinikanth, V., Acharya, U. Rajendra and Cheong, Kang Hao. 2021. "Artificial Intelligence and Machine Learning in Emergency Medicine." Biocybernetics and Biomedical Engineering. 41 (1), pp. 156-172. https://doi.org/10.1016/j.bbe.2020.12.002
Article Title | Artificial Intelligence and Machine Learning in Emergency Medicine |
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ERA Journal ID | 211872 |
Article Category | Article |
Authors | Tang, Kenneth Jian Wei, Ang, Candice Ke En, Constantinides, Theodoros, Rajinikanth, V., Acharya, U. Rajendra and Cheong, Kang Hao |
Journal Title | Biocybernetics and Biomedical Engineering |
Journal Citation | 41 (1), pp. 156-172 |
Number of Pages | 17 |
Year | 2021 |
Publisher | Elsevier BV |
Place of Publication | Netherlands |
ISSN | 0208-5216 |
2391-467X | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.bbe.2020.12.002 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0208521620301431 |
Abstract | 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. |
Keywords | Artificial Intelligence; Emergency department; Machine learning; Deep learning; Emergency Medicine |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Singapore University of Technology and Design |
MOH Holdings, Singapore | |
University of Bristol, United Kingdom | |
St. Joseph's College of Engineering, India | |
Ngee Ann Polytechnic, Singapore | |
Asia University, Taiwan | |
Kumamoto University, Japan |
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https://research.usq.edu.au/item/z1w32/artificial-intelligence-and-machine-learning-in-emergency-medicine
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