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The rise of artificial intelligence in healthcare applications
Big data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. Netflix knows which films and series people prefer to watch, Amazon knows which items people like to buy when and where, and Google knows which symptoms and conditions peo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325854/ http://dx.doi.org/10.1016/B978-0-12-818438-7.00002-2 |
_version_ | 1783552220317351936 |
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author | Bohr, Adam Memarzadeh, Kaveh |
author_facet | Bohr, Adam Memarzadeh, Kaveh |
author_sort | Bohr, Adam |
collection | PubMed |
description | Big data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. Netflix knows which films and series people prefer to watch, Amazon knows which items people like to buy when and where, and Google knows which symptoms and conditions people are searching for. All this data can be used for very detailed personal profiling, which may be of great value for behavioral understanding and targeting but also has potential for predicting healthcare trends. There is great optimism that the application of artificial intelligence (AI) can provide substantial improvements in all areas of healthcare from diagnostics to treatment. It is generally believed that AI tools will facilitate and enhance human work and not replace the work of physicians and other healthcare staff as such. AI is ready to support healthcare personnel with a variety of tasks from administrative workflow to clinical documentation and patient outreach as well as specialized support such as in image analysis, medical device automation, and patient monitoring. In this chapter, some of the major applications of AI in healthcare will be discussed covering both the applications that are directly associated with healthcare and those in the healthcare value chain such as drug development and ambient assisted living. |
format | Online Article Text |
id | pubmed-7325854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73258542020-07-01 The rise of artificial intelligence in healthcare applications Bohr, Adam Memarzadeh, Kaveh Artificial Intelligence in Healthcare Article Big data and machine learning are having an impact on most aspects of modern life, from entertainment, commerce, and healthcare. Netflix knows which films and series people prefer to watch, Amazon knows which items people like to buy when and where, and Google knows which symptoms and conditions people are searching for. All this data can be used for very detailed personal profiling, which may be of great value for behavioral understanding and targeting but also has potential for predicting healthcare trends. There is great optimism that the application of artificial intelligence (AI) can provide substantial improvements in all areas of healthcare from diagnostics to treatment. It is generally believed that AI tools will facilitate and enhance human work and not replace the work of physicians and other healthcare staff as such. AI is ready to support healthcare personnel with a variety of tasks from administrative workflow to clinical documentation and patient outreach as well as specialized support such as in image analysis, medical device automation, and patient monitoring. In this chapter, some of the major applications of AI in healthcare will be discussed covering both the applications that are directly associated with healthcare and those in the healthcare value chain such as drug development and ambient assisted living. 2020 2020-06-26 /pmc/articles/PMC7325854/ http://dx.doi.org/10.1016/B978-0-12-818438-7.00002-2 Text en Copyright © 2020 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bohr, Adam Memarzadeh, Kaveh The rise of artificial intelligence in healthcare applications |
title | The rise of artificial intelligence in healthcare applications |
title_full | The rise of artificial intelligence in healthcare applications |
title_fullStr | The rise of artificial intelligence in healthcare applications |
title_full_unstemmed | The rise of artificial intelligence in healthcare applications |
title_short | The rise of artificial intelligence in healthcare applications |
title_sort | rise of artificial intelligence in healthcare applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325854/ http://dx.doi.org/10.1016/B978-0-12-818438-7.00002-2 |
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