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A population health perspective on artificial intelligence
The burgeoning field of Artificial Intelligence (AI) has the potential to profoundly impact the public’s health. Yet, to make the most of this opportunity, decision-makers must understand AI concepts. In this article, we describe approaches and fields within AI and illustrate through examples how th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323781/ https://www.ncbi.nlm.nih.gov/pubmed/31106580 http://dx.doi.org/10.1177/0840470419848428 |
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author | Lavigne, Maxime Mussa, Fatima Creatore, Maria I. Hoffman, Steven J. Buckeridge, David L. |
author_facet | Lavigne, Maxime Mussa, Fatima Creatore, Maria I. Hoffman, Steven J. Buckeridge, David L. |
author_sort | Lavigne, Maxime |
collection | PubMed |
description | The burgeoning field of Artificial Intelligence (AI) has the potential to profoundly impact the public’s health. Yet, to make the most of this opportunity, decision-makers must understand AI concepts. In this article, we describe approaches and fields within AI and illustrate through examples how they can contribute to informed decisions, with a focus on population health applications. We first introduce core concepts needed to understand modern uses of AI and then describe its sub-fields. Finally, we examine four sub-fields of AI most relevant to population health along with examples of available tools and frameworks. Artificial intelligence is a broad and complex field, but the tools that enable the use of AI techniques are becoming more accessible, less expensive, and easier to use than ever before. Applications of AI have the potential to assist clinicians, health system managers, policy-makers, and public health practitioners in making more precise, and potentially more effective, decisions. |
format | Online Article Text |
id | pubmed-7323781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73237812020-07-09 A population health perspective on artificial intelligence Lavigne, Maxime Mussa, Fatima Creatore, Maria I. Hoffman, Steven J. Buckeridge, David L. Healthc Manage Forum Original Articles The burgeoning field of Artificial Intelligence (AI) has the potential to profoundly impact the public’s health. Yet, to make the most of this opportunity, decision-makers must understand AI concepts. In this article, we describe approaches and fields within AI and illustrate through examples how they can contribute to informed decisions, with a focus on population health applications. We first introduce core concepts needed to understand modern uses of AI and then describe its sub-fields. Finally, we examine four sub-fields of AI most relevant to population health along with examples of available tools and frameworks. Artificial intelligence is a broad and complex field, but the tools that enable the use of AI techniques are becoming more accessible, less expensive, and easier to use than ever before. Applications of AI have the potential to assist clinicians, health system managers, policy-makers, and public health practitioners in making more precise, and potentially more effective, decisions. SAGE Publications 2019-05-19 2019-07 /pmc/articles/PMC7323781/ /pubmed/31106580 http://dx.doi.org/10.1177/0840470419848428 Text en © 2019 The Canadian College of Health Leaders http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Articles Lavigne, Maxime Mussa, Fatima Creatore, Maria I. Hoffman, Steven J. Buckeridge, David L. A population health perspective on artificial intelligence |
title | A population health perspective on artificial intelligence |
title_full | A population health perspective on artificial intelligence |
title_fullStr | A population health perspective on artificial intelligence |
title_full_unstemmed | A population health perspective on artificial intelligence |
title_short | A population health perspective on artificial intelligence |
title_sort | population health perspective on artificial intelligence |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323781/ https://www.ncbi.nlm.nih.gov/pubmed/31106580 http://dx.doi.org/10.1177/0840470419848428 |
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