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医学数字孪生在糖尿病管理中的潜力:综述

The potential of the Medical Digital Twin in diabetes management: a review.

作者信息

Chu Yanting, Li Shanhong, Tang Jie, Wu Huiqun

机构信息

Department of Medical Informatics, Medical School of Nantong University, Nantong, China.

出版信息

Front Med (Lausanne). 2023 Jul 20;10:1178912. doi: 10.3389/fmed.2023.1178912. eCollection 2023.

DOI:10.3389/fmed.2023.1178912
PMID:37547605
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10397506/
Abstract

Diabetes is a chronic prevalent disease that must be managed to improve the patient's quality of life. However, the limited healthcare management resources compared to the large diabetes mellitus (DM) population are an obstacle that needs modern information technology to improve. Digital twin (DT) is a relatively new approach that has emerged as a viable tool in several sectors of healthcare, and there have been some publications on DT in disease management. The systematic summary of the use of DTs and its potential applications in DM is less reported. In this review, we summarized the key techniques of DTs, proposed the potentials of DTs in DM management from different aspects, and discussed the concerns of this novel technique in DM management.

摘要

糖尿病是一种慢性流行疾病,必须加以管理以提高患者的生活质量。然而,与庞大的糖尿病患者群体相比,有限的医疗管理资源是一个需要借助现代信息技术加以改善的障碍。数字孪生(DT)是一种相对较新的方法,已成为医疗保健多个领域中可行的工具,并且在疾病管理方面已有一些关于数字孪生的出版物。关于数字孪生在糖尿病管理中的应用及其潜在应用的系统总结报道较少。在本综述中,我们总结了数字孪生的关键技术,从不同方面提出了数字孪生在糖尿病管理中的潜力,并讨论了这种新技术在糖尿病管理中的相关问题。

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J Clin Med. 2023 Mar 7;12(6):2094. doi: 10.3390/jcm12062094.
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Sensors (Basel). 2022 Dec 20;23(1):17. doi: 10.3390/s23010017.
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What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health.什么是数字孪生?面向健康的以数据为中心的机器学习视角的实验设计。
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Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges.利用数字孪生推动医疗保健发展:应用与实施挑战的元综述
J Med Internet Res. 2025 Feb 19;27:e69544. doi: 10.2196/69544.
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The Era of Preemptive Medicine: Developing Medical Digital Twins through Omics, IoT, and AI Integration.精准医学时代:通过组学、物联网和人工智能集成发展医学数字孪生体。
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