Machine Learning and Precision Medicine in Emergency Medicine: The Basics.
Abstract
As machine learning (ML) and precision medicine become more readily available and
used in practice, emergency physicians must understand the potential advantages and
limitations of the technology. This narrative review focuses on the key components
of machine learning, artificial intelligence, and precision medicine in emergency
medicine (EM). Based on the content expertise, we identified articles from EM literature.
The authors provided a narrative summary of each piece of literature. Next, the authors
provided an introduction of the concepts of ML, artificial intelligence as an extension
of ML, and precision medicine. This was followed by concrete examples of their applications
in practice and research. Subsequently, we shared our thoughts on how to consume the
existing research in these subjects and conduct high-quality research for academic
emergency medicine. We foresee that the EM community will continue to adapt machine
learning, artificial intelligence, and precision medicine in research and practice.
We described several key components using our expertise.
Type
Journal articleSubject
artificial intelligencemachine learning
precision medicine
research in emergency medicine
risk prediction
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https://hdl.handle.net/10161/24039Published Version (Please cite this version)
10.7759/cureus.17636Publication Info
Lee, Sangil; Lam, Samuel H; Hernandes Rocha, Thiago Augusto; Fleischman, Ross J; Staton,
Catherine A; Taylor, Richard; & Limkakeng, Alexander T (2021). Machine Learning and Precision Medicine in Emergency Medicine: The Basics. Cureus, 13(9). pp. e17636. 10.7759/cureus.17636. Retrieved from https://hdl.handle.net/10161/24039.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Alexander Tan Limkakeng Jr.
Professor of Emergency Medicine
My personal research interest is finding new ways to diagnose acute coronary syndrome.
In particular, I am interested in novel biomarkers and precision medicine approaches
to this problem. I also have an interest in sepsis and empirical bioethics. As Vice
Chair of Clinical Research for the Duke University Department of Emergency Medicine,
I also work with researchers from many fields spanning global health, innovation,
clinical trials, basic discovery, and trans

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