The Digital Twin in Medicine: A Key to the Future of Healthcare?

被引:41
|
作者
Sun, Tianze [1 ,2 ]
He, Xiwang [3 ]
Song, Xueguan [3 ]
Shu, Liming [4 ,5 ]
Li, Zhonghai [1 ,2 ]
机构
[1] Dalian Med Univ, Affiliated Hosp 1, Dept Orthoped, Dalian, Peoples R China
[2] Key Lab Mol Mech Repair & Remodeling Orthoped Dis, Dalian, Peoples R China
[3] Dalian Univ Technol, Sch Mech Engn, Dalian, Peoples R China
[4] Univ Tokyo, Ctr Engn, Sch Engn, Res Artifacts, Bunkyo, Tokyo, Japan
[5] Univ Tokyo, Dept Mech Engn, Bunkyo, Tokyo, Japan
关键词
digital twin (DT); artificial intelligence (AI); precision medicine; healthcare; big data;
D O I
10.3389/fmed.2022.907066
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
There is a growing need for precise diagnosis and personalized treatment of disease in recent years. Providing treatment tailored to each patient and maximizing efficacy and efficiency are broad goals of the healthcare system. As an engineering concept that connects the physical entity and digital space, the digital twin (DT) entered our lives at the beginning of Industry 4.0. It is evaluated as a revolution in many industrial fields and has shown the potential to be widely used in the field of medicine. This technology can offer innovative solutions for precise diagnosis and personalized treatment processes. Although there are difficulties in data collection, data fusion, and accurate simulation at this stage, we speculated that the DT may have an increasing use in the future and will become a new platform for personal health management and healthcare services. We introduced the DT technology and discussed the advantages and limitations of its applications in the medical field. This article aims to provide a perspective that combining Big Data, the Internet of Things (IoT), and artificial intelligence (AI) technology; the DT will help establish high-resolution models of patients to achieve precise diagnosis and personalized treatment.
引用
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页数:8
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