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A unifying force for the realization of medical AI
Artificial Intelligence (AI) in medicine has grown rapidly, yet few algorithms have been deployed. It is not the problem with the AI itself but with the way functions and results are communicated. Regulatory science provides the appropriate language and solutions to this problem for three reasons: F...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666657/ https://www.ncbi.nlm.nih.gov/pubmed/36380011 http://dx.doi.org/10.1038/s41746-022-00721-7 |
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author | Lennerz, Jochen K. Green, Ursula Williamson, Drew F. K. Mahmood, Faisal |
author_facet | Lennerz, Jochen K. Green, Ursula Williamson, Drew F. K. Mahmood, Faisal |
author_sort | Lennerz, Jochen K. |
collection | PubMed |
description | Artificial Intelligence (AI) in medicine has grown rapidly, yet few algorithms have been deployed. It is not the problem with the AI itself but with the way functions and results are communicated. Regulatory science provides the appropriate language and solutions to this problem for three reasons: First, there is value in the intentionally interdisciplinary regulatory language. Second, regulatory concepts are important for AI researchers because these concepts enable tackling of risk and safety concerns as well as understanding of recently proposed regulations in the US and Europe. Third, regulatory science is a scientific discipline that evaluates and challenges current regulation—aiming for evidence-based improvements. Knowledge of the regulatory language, concepts, and science should be regarded a core competency for communicating medical innovation. Regulatory grade communication will be the key to bringing medical AI from hype to standard of care. Foregoing the possible benefits of regulatory science as a unifying force for the realization of medical AI is a missed opportunity. |
format | Online Article Text |
id | pubmed-9666657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96666572022-11-17 A unifying force for the realization of medical AI Lennerz, Jochen K. Green, Ursula Williamson, Drew F. K. Mahmood, Faisal NPJ Digit Med Comment Artificial Intelligence (AI) in medicine has grown rapidly, yet few algorithms have been deployed. It is not the problem with the AI itself but with the way functions and results are communicated. Regulatory science provides the appropriate language and solutions to this problem for three reasons: First, there is value in the intentionally interdisciplinary regulatory language. Second, regulatory concepts are important for AI researchers because these concepts enable tackling of risk and safety concerns as well as understanding of recently proposed regulations in the US and Europe. Third, regulatory science is a scientific discipline that evaluates and challenges current regulation—aiming for evidence-based improvements. Knowledge of the regulatory language, concepts, and science should be regarded a core competency for communicating medical innovation. Regulatory grade communication will be the key to bringing medical AI from hype to standard of care. Foregoing the possible benefits of regulatory science as a unifying force for the realization of medical AI is a missed opportunity. Nature Publishing Group UK 2022-11-15 /pmc/articles/PMC9666657/ /pubmed/36380011 http://dx.doi.org/10.1038/s41746-022-00721-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Comment Lennerz, Jochen K. Green, Ursula Williamson, Drew F. K. Mahmood, Faisal A unifying force for the realization of medical AI |
title | A unifying force for the realization of medical AI |
title_full | A unifying force for the realization of medical AI |
title_fullStr | A unifying force for the realization of medical AI |
title_full_unstemmed | A unifying force for the realization of medical AI |
title_short | A unifying force for the realization of medical AI |
title_sort | unifying force for the realization of medical ai |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666657/ https://www.ncbi.nlm.nih.gov/pubmed/36380011 http://dx.doi.org/10.1038/s41746-022-00721-7 |
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