Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?

This article is focused on the understanding of the key points and their importance and impact on the future of early disease predictive models, accurate and fast diagnosis, patient management, optimise treatment, precision medicine, and allocation of resources through the applications of Big Data (...

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Autor principal:	Mina Ashraf
Formato:	article
Lenguaje:	EN ES
Publicado:	De Gruyter 2020
Materias:	artificial intelligence big data deep learning digital pathology patient management Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/b9ce111d518f4eef80110f2d3ba3e0ad
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spelling	oai:doaj.org-article:b9ce111d518f4eef80110f2d3ba3e0ad2021-12-05T14:10:38ZBig data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?2628-491X10.1515/almed-2020-0014https://doaj.org/article/b9ce111d518f4eef80110f2d3ba3e0ad2020-05-01T00:00:00Zhttps://doi.org/10.1515/almed-2020-0014https://doaj.org/toc/2628-491XThis article is focused on the understanding of the key points and their importance and impact on the future of early disease predictive models, accurate and fast diagnosis, patient management, optimise treatment, precision medicine, and allocation of resources through the applications of Big Data (BD) and Artificial Intelligence (AI) in healthcare.Mina AshrafDe Gruyterarticleartificial intelligencebig datadeep learningdigital pathologypatient managementMedical technologyR855-855.5ENESAdvances in Laboratory Medicine, Vol 1, Iss 3, Pp 794-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN ES
topic	artificial intelligence big data deep learning digital pathology patient management Medical technology R855-855.5
spellingShingle	artificial intelligence big data deep learning digital pathology patient management Medical technology R855-855.5 Mina Ashraf Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?
description	This article is focused on the understanding of the key points and their importance and impact on the future of early disease predictive models, accurate and fast diagnosis, patient management, optimise treatment, precision medicine, and allocation of resources through the applications of Big Data (BD) and Artificial Intelligence (AI) in healthcare.
format	article
author	Mina Ashraf
author_facet	Mina Ashraf
author_sort	Mina Ashraf
title	Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?
title_short	Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?
title_full	Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?
title_fullStr	Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?
title_full_unstemmed	Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?
title_sort	big data and artificial intelligence in future patient management. how is it all started? where are we at now? quo tendimus?
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/b9ce111d518f4eef80110f2d3ba3e0ad
work_keys_str_mv	AT minaashraf bigdataandartificialintelligenceinfuturepatientmanagementhowisitallstartedwhereareweatnowquotendimus
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Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?

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