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Artificial Intelligence and Big Data in Public Health
Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313588/ https://www.ncbi.nlm.nih.gov/pubmed/30544648 http://dx.doi.org/10.3390/ijerph15122796 |
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author | Benke, Kurt Benke, Geza |
author_facet | Benke, Kurt Benke, Geza |
author_sort | Benke, Kurt |
collection | PubMed |
description | Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues involved and describe the potential impacts and challenges to medical professionals and diagnosticians. The possible benefits of advanced data analytics and machine learning are described in the context of recently reported research. Problems are identified and discussed with respect to ethical issues and the future roles of professionals and specialists in the age of artificial intelligence. |
format | Online Article Text |
id | pubmed-6313588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63135882019-06-17 Artificial Intelligence and Big Data in Public Health Benke, Kurt Benke, Geza Int J Environ Res Public Health Commentary Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data and their significance to public health. We highlight issues involved and describe the potential impacts and challenges to medical professionals and diagnosticians. The possible benefits of advanced data analytics and machine learning are described in the context of recently reported research. Problems are identified and discussed with respect to ethical issues and the future roles of professionals and specialists in the age of artificial intelligence. MDPI 2018-12-10 2018-12 /pmc/articles/PMC6313588/ /pubmed/30544648 http://dx.doi.org/10.3390/ijerph15122796 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Commentary Benke, Kurt Benke, Geza Artificial Intelligence and Big Data in Public Health |
title | Artificial Intelligence and Big Data in Public Health |
title_full | Artificial Intelligence and Big Data in Public Health |
title_fullStr | Artificial Intelligence and Big Data in Public Health |
title_full_unstemmed | Artificial Intelligence and Big Data in Public Health |
title_short | Artificial Intelligence and Big Data in Public Health |
title_sort | artificial intelligence and big data in public health |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313588/ https://www.ncbi.nlm.nih.gov/pubmed/30544648 http://dx.doi.org/10.3390/ijerph15122796 |
work_keys_str_mv | AT benkekurt artificialintelligenceandbigdatainpublichealth AT benkegeza artificialintelligenceandbigdatainpublichealth |