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Artificial Intelligence in Public Health: Current Trends and Future Possibilities

Detalles Bibliográficos
Autor principal: Giansanti, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565579/
https://www.ncbi.nlm.nih.gov/pubmed/36231208
http://dx.doi.org/10.3390/ijerph191911907
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author Giansanti, Daniele
author_facet Giansanti, Daniele
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spelling pubmed-95655792022-10-15 Artificial Intelligence in Public Health: Current Trends and Future Possibilities Giansanti, Daniele Int J Environ Res Public Health Editorial MDPI 2022-09-21 /pmc/articles/PMC9565579/ /pubmed/36231208 http://dx.doi.org/10.3390/ijerph191911907 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Giansanti, Daniele
Artificial Intelligence in Public Health: Current Trends and Future Possibilities
title Artificial Intelligence in Public Health: Current Trends and Future Possibilities
title_full Artificial Intelligence in Public Health: Current Trends and Future Possibilities
title_fullStr Artificial Intelligence in Public Health: Current Trends and Future Possibilities
title_full_unstemmed Artificial Intelligence in Public Health: Current Trends and Future Possibilities
title_short Artificial Intelligence in Public Health: Current Trends and Future Possibilities
title_sort artificial intelligence in public health: current trends and future possibilities
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565579/
https://www.ncbi.nlm.nih.gov/pubmed/36231208
http://dx.doi.org/10.3390/ijerph191911907
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