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The Digital Twin in Medicine: A Key to the Future of Healthcare?
by
Tianze Sun
, Xiwang He
, Xueguan Song
, Zhonghai Li
, Liming Shu
in
Accuracy
/ Artificial intelligence
/ artificial intelligence (AI)
/ Big Data
/ Blood pressure
/ Communication
/ Customization
/ Data analysis
/ Deep learning
/ digital twin (DT)
/ Digital twins
/ Disease
/ General Medicine
/ Health care
/ healthcare
/ Medical equipment
/ Medical technology
/ Medicine
/ Medicine (General)
/ Motion capture
/ Neural networks
/ Patients
/ Precision medicine
/ Product life cycle
/ Product lifecycle management
/ R5-920
/ Sensors
/ Simulation
/ Workshops
2022
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The Digital Twin in Medicine: A Key to the Future of Healthcare?
by
Tianze Sun
, Xiwang He
, Xueguan Song
, Zhonghai Li
, Liming Shu
in
Accuracy
/ Artificial intelligence
/ artificial intelligence (AI)
/ Big Data
/ Blood pressure
/ Communication
/ Customization
/ Data analysis
/ Deep learning
/ digital twin (DT)
/ Digital twins
/ Disease
/ General Medicine
/ Health care
/ healthcare
/ Medical equipment
/ Medical technology
/ Medicine
/ Medicine (General)
/ Motion capture
/ Neural networks
/ Patients
/ Precision medicine
/ Product life cycle
/ Product lifecycle management
/ R5-920
/ Sensors
/ Simulation
/ Workshops
2022
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Do you wish to request the book?
The Digital Twin in Medicine: A Key to the Future of Healthcare?
by
Tianze Sun
, Xiwang He
, Xueguan Song
, Zhonghai Li
, Liming Shu
in
Accuracy
/ Artificial intelligence
/ artificial intelligence (AI)
/ Big Data
/ Blood pressure
/ Communication
/ Customization
/ Data analysis
/ Deep learning
/ digital twin (DT)
/ Digital twins
/ Disease
/ General Medicine
/ Health care
/ healthcare
/ Medical equipment
/ Medical technology
/ Medicine
/ Medicine (General)
/ Motion capture
/ Neural networks
/ Patients
/ Precision medicine
/ Product life cycle
/ Product lifecycle management
/ R5-920
/ Sensors
/ Simulation
/ Workshops
2022
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The Digital Twin in Medicine: A Key to the Future of Healthcare?
Journal Article
The Digital Twin in Medicine: A Key to the Future of Healthcare?
2022
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Overview
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.
Publisher
Frontiers Media SA,Frontiers Media S.A
Subject
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