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The advent of medical artificial intelligence: lessons from the Japanese approach
Artificial intelligence or AI has been heralded as the most transformative technology in healthcare, including critical care medicine. Globally, healthcare specialists and health ministries are being pressured to create and implement a roadmap to incorporate applications of AI into care delivery. To...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236126/ https://www.ncbi.nlm.nih.gov/pubmed/32467762 http://dx.doi.org/10.1186/s40560-020-00452-5 |
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author | Ishii, Euma Ebner, Daniel K. Kimura, Satoshi Agha-Mir-Salim, Louis Uchimido, Ryo Celi, Leo A. |
author_facet | Ishii, Euma Ebner, Daniel K. Kimura, Satoshi Agha-Mir-Salim, Louis Uchimido, Ryo Celi, Leo A. |
author_sort | Ishii, Euma |
collection | PubMed |
description | Artificial intelligence or AI has been heralded as the most transformative technology in healthcare, including critical care medicine. Globally, healthcare specialists and health ministries are being pressured to create and implement a roadmap to incorporate applications of AI into care delivery. To date, the majority of Japan’s approach to AI has been anchored in industry, and the challenges that have occurred therein offer important lessons for nations developing new AI strategies. Notably, the demand for an AI-literate workforce has outpaced training programs and knowledge. This is particularly observable within medicine, where clinicians may be unfamiliar with the technology. National policy and private sector involvement have shown promise in developing both workforce and AI applications in healthcare. In combination with Japan’s unique national healthcare system and aggregable healthcare and socioeconomic data, Japan has a rich opportunity to lead in the field of medical AI. |
format | Online Article Text |
id | pubmed-7236126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72361262020-05-27 The advent of medical artificial intelligence: lessons from the Japanese approach Ishii, Euma Ebner, Daniel K. Kimura, Satoshi Agha-Mir-Salim, Louis Uchimido, Ryo Celi, Leo A. J Intensive Care Review Artificial intelligence or AI has been heralded as the most transformative technology in healthcare, including critical care medicine. Globally, healthcare specialists and health ministries are being pressured to create and implement a roadmap to incorporate applications of AI into care delivery. To date, the majority of Japan’s approach to AI has been anchored in industry, and the challenges that have occurred therein offer important lessons for nations developing new AI strategies. Notably, the demand for an AI-literate workforce has outpaced training programs and knowledge. This is particularly observable within medicine, where clinicians may be unfamiliar with the technology. National policy and private sector involvement have shown promise in developing both workforce and AI applications in healthcare. In combination with Japan’s unique national healthcare system and aggregable healthcare and socioeconomic data, Japan has a rich opportunity to lead in the field of medical AI. BioMed Central 2020-05-18 /pmc/articles/PMC7236126/ /pubmed/32467762 http://dx.doi.org/10.1186/s40560-020-00452-5 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Ishii, Euma Ebner, Daniel K. Kimura, Satoshi Agha-Mir-Salim, Louis Uchimido, Ryo Celi, Leo A. The advent of medical artificial intelligence: lessons from the Japanese approach |
title | The advent of medical artificial intelligence: lessons from the Japanese approach |
title_full | The advent of medical artificial intelligence: lessons from the Japanese approach |
title_fullStr | The advent of medical artificial intelligence: lessons from the Japanese approach |
title_full_unstemmed | The advent of medical artificial intelligence: lessons from the Japanese approach |
title_short | The advent of medical artificial intelligence: lessons from the Japanese approach |
title_sort | advent of medical artificial intelligence: lessons from the japanese approach |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236126/ https://www.ncbi.nlm.nih.gov/pubmed/32467762 http://dx.doi.org/10.1186/s40560-020-00452-5 |
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