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Machine Learning and Precision Medicine in Emergency Medicine: The Basics
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 p...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485701/ https://www.ncbi.nlm.nih.gov/pubmed/34646684 http://dx.doi.org/10.7759/cureus.17636 |
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author | Lee, Sangil Lam, Samuel H Hernandes Rocha, Thiago Augusto Fleischman, Ross J Staton, Catherine A Taylor, Richard Limkakeng, Alexander T |
author_facet | Lee, Sangil Lam, Samuel H Hernandes Rocha, Thiago Augusto Fleischman, Ross J Staton, Catherine A Taylor, Richard Limkakeng, Alexander T |
author_sort | Lee, Sangil |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8485701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-84857012021-10-12 Machine Learning and Precision Medicine in Emergency Medicine: The Basics Lee, Sangil Lam, Samuel H Hernandes Rocha, Thiago Augusto Fleischman, Ross J Staton, Catherine A Taylor, Richard Limkakeng, Alexander T Cureus Emergency Medicine 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. Cureus 2021-09-01 /pmc/articles/PMC8485701/ /pubmed/34646684 http://dx.doi.org/10.7759/cureus.17636 Text en Copyright © 2021, Lee et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Emergency Medicine Lee, Sangil Lam, Samuel H Hernandes Rocha, Thiago Augusto Fleischman, Ross J Staton, Catherine A Taylor, Richard Limkakeng, Alexander T Machine Learning and Precision Medicine in Emergency Medicine: The Basics |
title | Machine Learning and Precision Medicine in Emergency Medicine: The Basics |
title_full | Machine Learning and Precision Medicine in Emergency Medicine: The Basics |
title_fullStr | Machine Learning and Precision Medicine in Emergency Medicine: The Basics |
title_full_unstemmed | Machine Learning and Precision Medicine in Emergency Medicine: The Basics |
title_short | Machine Learning and Precision Medicine in Emergency Medicine: The Basics |
title_sort | machine learning and precision medicine in emergency medicine: the basics |
topic | Emergency Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485701/ https://www.ncbi.nlm.nih.gov/pubmed/34646684 http://dx.doi.org/10.7759/cureus.17636 |
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