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Artificial intelligence powers digital medicine
Artificial intelligence (AI) has recently surpassed human performance in several domains, and there is great hope that in healthcare, AI may allow for better prevention, detection, diagnosis, and treatment of disease. While many fear that AI will disrupt jobs and the physician–patient relationship,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548340/ https://www.ncbi.nlm.nih.gov/pubmed/31304291 http://dx.doi.org/10.1038/s41746-017-0012-2 |
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author | Fogel, Alexander L. Kvedar, Joseph C. |
author_facet | Fogel, Alexander L. Kvedar, Joseph C. |
author_sort | Fogel, Alexander L. |
collection | PubMed |
description | Artificial intelligence (AI) has recently surpassed human performance in several domains, and there is great hope that in healthcare, AI may allow for better prevention, detection, diagnosis, and treatment of disease. While many fear that AI will disrupt jobs and the physician–patient relationship, we believe that AI can eliminate many repetitive tasks to clear the way for human-to-human bonding and the application of emotional intelligence and judgment. We review several recent studies of AI applications in healthcare that provide a view of a future where healthcare delivery is a more unified, human experience. |
format | Online Article Text |
id | pubmed-6548340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65483402019-07-12 Artificial intelligence powers digital medicine Fogel, Alexander L. Kvedar, Joseph C. NPJ Digit Med Perspective Artificial intelligence (AI) has recently surpassed human performance in several domains, and there is great hope that in healthcare, AI may allow for better prevention, detection, diagnosis, and treatment of disease. While many fear that AI will disrupt jobs and the physician–patient relationship, we believe that AI can eliminate many repetitive tasks to clear the way for human-to-human bonding and the application of emotional intelligence and judgment. We review several recent studies of AI applications in healthcare that provide a view of a future where healthcare delivery is a more unified, human experience. Nature Publishing Group UK 2018-03-14 /pmc/articles/PMC6548340/ /pubmed/31304291 http://dx.doi.org/10.1038/s41746-017-0012-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Perspective Fogel, Alexander L. Kvedar, Joseph C. Artificial intelligence powers digital medicine |
title | Artificial intelligence powers digital medicine |
title_full | Artificial intelligence powers digital medicine |
title_fullStr | Artificial intelligence powers digital medicine |
title_full_unstemmed | Artificial intelligence powers digital medicine |
title_short | Artificial intelligence powers digital medicine |
title_sort | artificial intelligence powers digital medicine |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548340/ https://www.ncbi.nlm.nih.gov/pubmed/31304291 http://dx.doi.org/10.1038/s41746-017-0012-2 |
work_keys_str_mv | AT fogelalexanderl artificialintelligencepowersdigitalmedicine AT kvedarjosephc artificialintelligencepowersdigitalmedicine |