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Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework
In this study, we reported a methodological framework for the development of a guideline for establishing a regulatory science system for supervising the application of artificial intelligence for traditional Chinese medicine (TCM). It introduced all of the key steps for developing the guideline as...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184203/ https://www.ncbi.nlm.nih.gov/pubmed/35692572 http://dx.doi.org/10.1155/2022/9680203 |
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author | He, Ying Wen, Qian Wang, Ying Li, Juan Li, Ning Jin, Rongjiang Li, Nian Zhang, Yonggang |
author_facet | He, Ying Wen, Qian Wang, Ying Li, Juan Li, Ning Jin, Rongjiang Li, Nian Zhang, Yonggang |
author_sort | He, Ying |
collection | PubMed |
description | In this study, we reported a methodological framework for the development of a guideline for establishing a regulatory science system for supervising the application of artificial intelligence for traditional Chinese medicine (TCM). It introduced all of the key steps for developing the guideline as follows: the composition of the guideline expert groups, summary steps, agency, purpose, targeted population, writing, publishing, updating, dissemination, dynamic monitoring, and evaluation. The guideline will provide the basis for national authorities to effectively regulate artificial intelligence technology and enrich the supervisory system for TCM, and it will be of great significance to TCM. |
format | Online Article Text |
id | pubmed-9184203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91842032022-06-10 Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework He, Ying Wen, Qian Wang, Ying Li, Juan Li, Ning Jin, Rongjiang Li, Nian Zhang, Yonggang Evid Based Complement Alternat Med Research Article In this study, we reported a methodological framework for the development of a guideline for establishing a regulatory science system for supervising the application of artificial intelligence for traditional Chinese medicine (TCM). It introduced all of the key steps for developing the guideline as follows: the composition of the guideline expert groups, summary steps, agency, purpose, targeted population, writing, publishing, updating, dissemination, dynamic monitoring, and evaluation. The guideline will provide the basis for national authorities to effectively regulate artificial intelligence technology and enrich the supervisory system for TCM, and it will be of great significance to TCM. Hindawi 2022-06-02 /pmc/articles/PMC9184203/ /pubmed/35692572 http://dx.doi.org/10.1155/2022/9680203 Text en Copyright © 2022 Ying He et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article He, Ying Wen, Qian Wang, Ying Li, Juan Li, Ning Jin, Rongjiang Li, Nian Zhang, Yonggang Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework |
title | Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework |
title_full | Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework |
title_fullStr | Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework |
title_full_unstemmed | Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework |
title_short | Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework |
title_sort | establishing a regulatory science system for supervising the application of artificial intelligence for traditional chinese medicine: a methodological framework |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184203/ https://www.ncbi.nlm.nih.gov/pubmed/35692572 http://dx.doi.org/10.1155/2022/9680203 |
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