Machine Learning and Precision Medicine in Emergency Medicine: The Basics

Sangil Lee; Samuel H. Lam; Thiago Augusto Hernandes Rocha; Ross J. Fleischman; Catherine A. Staton; Richard Taylor; Alexander T. Limkakeng

doi:10.7759/cureus.17636

Back

Machine Learning and Precision Medicine in Emergency Medicine: The Basics

Journal article

Open access

Peer reviewed

Machine Learning and Precision Medicine in Emergency Medicine: The Basics

Sangil Lee, Samuel H. Lam, Thiago Augusto Hernandes Rocha, Ross J. Fleischman, Catherine A. Staton, Richard Taylor and Alexander T. Limkakeng

Curēus (Palo Alto, CA), Vol.13(9), pp.e17636-e17636

09/01/2021

DOI: 10.7759/cureus.17636

PMCID: PMC8485701

PMID: 34646684

Files and links (1)

url

https://doi.org/10.7759/cureus.17636View

Published (Version of record) Open Access

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.

General & Internal Medicine

Life Sciences & Biomedicine

Medicine, General & Internal

Science & Technology

Details

Title: Subtitle: Machine Learning and Precision Medicine in Emergency Medicine: The Basics
Creators: Sangil Lee - Roy J. and Lucille A. Carver College of Medicine
Samuel H. Lam - Sutter Medical Center
Thiago Augusto Hernandes Rocha - Duke University
Ross J. Fleischman - UCLA Medical Center
Catherine A. Staton - Duke University
Richard Taylor - Yale University
Alexander T. Limkakeng - Duke University
Resource Type: Journal article
Publication Details: Curēus (Palo Alto, CA), Vol.13(9), pp.e17636-e17636
DOI: 10.7759/cureus.17636
PMID: 34646684
PMCID: PMC8485701
NLM abbreviation: Cureus
ISSN: 2168-8184
eISSN: 2168-8184
Publisher: Cureus Inc
Number of pages: 10
Language: English
Date published: 09/01/2021
Academic Unit: Emergency Medicine; Injury Prevention Research Center
Record Identifier: 9984297358402771

Metrics

20 Record Views

4 Times Cited - Web of Science

See more details