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Application and prospect of artificial intellingence in diabetes care

Diabetes is one of the fastest-growing non-communicable diseases, becoming an important public health concern worldwide as well as in China. Currently, China has the largest population living with diabetes. Artificial intelligence (AI) is a fast-growing field and its applications to diabetes could e...

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Detalles Bibliográficos
Autores principales: Jia, Weiping, Fisher, Edwin B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471118/
https://www.ncbi.nlm.nih.gov/pubmed/37724106
http://dx.doi.org/10.1515/mr-2022-0039
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author Jia, Weiping
Fisher, Edwin B.
author_facet Jia, Weiping
Fisher, Edwin B.
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description Diabetes is one of the fastest-growing non-communicable diseases, becoming an important public health concern worldwide as well as in China. Currently, China has the largest population living with diabetes. Artificial intelligence (AI) is a fast-growing field and its applications to diabetes could enable the delivery of better management services for people with diabetes. This perspective summarized the latest findings of digital technologies and AI use in the following areas of diabetes care, mainly including screening and risk predictions of diabetes and diabetic complications, precise monitoring and intervention combined with new technologies, and mobile health application in self-management support for people with diabetes. Challenges to promote further use of AI in diabetes care included data standardization and integration, performance of AI-based medical devices, motivation of patients, and sensitivity to privacy. In summary, although the AI applications in clinical practice is still at an early stage, we are moving toward a new paradigm for diabetes care with the rapid development and emerging application of AI.
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spelling pubmed-104711182023-09-18 Application and prospect of artificial intellingence in diabetes care Jia, Weiping Fisher, Edwin B. Med Rev (Berl) Perspective Diabetes is one of the fastest-growing non-communicable diseases, becoming an important public health concern worldwide as well as in China. Currently, China has the largest population living with diabetes. Artificial intelligence (AI) is a fast-growing field and its applications to diabetes could enable the delivery of better management services for people with diabetes. This perspective summarized the latest findings of digital technologies and AI use in the following areas of diabetes care, mainly including screening and risk predictions of diabetes and diabetic complications, precise monitoring and intervention combined with new technologies, and mobile health application in self-management support for people with diabetes. Challenges to promote further use of AI in diabetes care included data standardization and integration, performance of AI-based medical devices, motivation of patients, and sensitivity to privacy. In summary, although the AI applications in clinical practice is still at an early stage, we are moving toward a new paradigm for diabetes care with the rapid development and emerging application of AI. De Gruyter 2023-02-17 /pmc/articles/PMC10471118/ /pubmed/37724106 http://dx.doi.org/10.1515/mr-2022-0039 Text en © 2023 the author(s), published by De Gruyter, Berlin/Boston https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Perspective
Jia, Weiping
Fisher, Edwin B.
Application and prospect of artificial intellingence in diabetes care
title Application and prospect of artificial intellingence in diabetes care
title_full Application and prospect of artificial intellingence in diabetes care
title_fullStr Application and prospect of artificial intellingence in diabetes care
title_full_unstemmed Application and prospect of artificial intellingence in diabetes care
title_short Application and prospect of artificial intellingence in diabetes care
title_sort application and prospect of artificial intellingence in diabetes care
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471118/
https://www.ncbi.nlm.nih.gov/pubmed/37724106
http://dx.doi.org/10.1515/mr-2022-0039
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