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Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect
Despite the rapid development of science and technology in healthcare, diabetes remains an incurable lifelong illness. Diabetes education aiming to improve the self-management skills is an essential way to help patients enhance their metabolic control and quality of life. Artificial intelligence (AI...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273319/ https://www.ncbi.nlm.nih.gov/pubmed/32548087 http://dx.doi.org/10.3389/fpubh.2020.00173 |
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author | Li, Juan Huang, Jin Zheng, Lanbo Li, Xia |
author_facet | Li, Juan Huang, Jin Zheng, Lanbo Li, Xia |
author_sort | Li, Juan |
collection | PubMed |
description | Despite the rapid development of science and technology in healthcare, diabetes remains an incurable lifelong illness. Diabetes education aiming to improve the self-management skills is an essential way to help patients enhance their metabolic control and quality of life. Artificial intelligence (AI) technologies have made significant progress in transforming available genetic data and clinical information into valuable knowledge. The application of AI tech in disease education would be extremely beneficial considering their advantages in promoting individualization and full-course education intervention according to the unique pictures of different individuals. This paper reviews and discusses the most recent applications of AI techniques to various aspects of diabetes education. With the information and evidence collected, this review attempts to provide insight and guidance for the development of prospective, data-driven decision support platforms for diabetes management, with a focus on individualized patient management and lifelong educational interventions. |
format | Online Article Text |
id | pubmed-7273319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72733192020-06-15 Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect Li, Juan Huang, Jin Zheng, Lanbo Li, Xia Front Public Health Public Health Despite the rapid development of science and technology in healthcare, diabetes remains an incurable lifelong illness. Diabetes education aiming to improve the self-management skills is an essential way to help patients enhance their metabolic control and quality of life. Artificial intelligence (AI) technologies have made significant progress in transforming available genetic data and clinical information into valuable knowledge. The application of AI tech in disease education would be extremely beneficial considering their advantages in promoting individualization and full-course education intervention according to the unique pictures of different individuals. This paper reviews and discusses the most recent applications of AI techniques to various aspects of diabetes education. With the information and evidence collected, this review attempts to provide insight and guidance for the development of prospective, data-driven decision support platforms for diabetes management, with a focus on individualized patient management and lifelong educational interventions. Frontiers Media S.A. 2020-05-29 /pmc/articles/PMC7273319/ /pubmed/32548087 http://dx.doi.org/10.3389/fpubh.2020.00173 Text en Copyright © 2020 Li, Huang, Zheng and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Li, Juan Huang, Jin Zheng, Lanbo Li, Xia Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect |
title | Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect |
title_full | Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect |
title_fullStr | Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect |
title_full_unstemmed | Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect |
title_short | Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect |
title_sort | application of artificial intelligence in diabetes education and management: present status and promising prospect |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273319/ https://www.ncbi.nlm.nih.gov/pubmed/32548087 http://dx.doi.org/10.3389/fpubh.2020.00173 |
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