The Digital Twin Revolution in Healthcare

Erol, Tolga; Mendı, Arif Furkan; Doğan, Dilara

doi:10.1109/ismsit50672.2020.9255249

Cited by 157 publications

(86 citation statements)

References 2 publications

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“…Artificial Intelligence: DT applications draw on AI technologies, machine learning, and software analytics to provide a real-time digital representation of the physical object. Currently, the DTs of AI-based human biological systems or organs help to diagnose current medical conditions and predict possible future health problems based on aggregated data and medical histories [ 17 ]. Moreover, AI assists the design of DTs of organs using their physiological data to output a 3D image.…”

Section: Concept and Current Applications Of Dts In Healthcarementioning

confidence: 99%

“…The quality of the data supplied also plays a vital role. Although sensors can efficiently collect data and transfer it to Human DTs, hospital data collection processes can be more expensive and time-consuming [ 17 ]. Currently, most of the data from individuals is collected through blood tests, imaging systems, and health scans.…”

Section: Open Issues and Challengesmentioning

confidence: 99%

“…Process and interface design. Although DT applications have been defined as fully autonomous processes, there is a crucial need for interdisciplinary knowledge (e.g., biomedical, mathematics, bioengineering, and computer science) and people’s experience due to the complex nature of human beings [ 17 ]. Moreover, DT software designers should work on a user-friendly interface for DTs to facilitate communication among DTs software, patients, and physicians (e.g., to discuss optimal treatment based on informed consent).…”

Section: Open Issues and Challengesmentioning

confidence: 99%

See 2 more Smart Citations

Digital Twins in Healthcare: Is It the Beginning of a New Era of Evidence-Based Medicine? A Critical Review

Armeni

Polat

Rossi

et al. 2022

JPM

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Digital Twins (DTs) are used in many different industries (e.g., manufacturing, construction, automotive, and aerospace), and there is an initial trend of applications in healthcare, mainly focusing on precision medicine. If their potential is fully unfolded, DTs will facilitate the as-yet-unrealized potential of connected care and alter the way lifestyle, health, wellness, and chronic disease will be managed in the future. To date, however, due to technical, regulatory and ethical roadblocks, there is no consensus as to what extent DTs in healthcare can introduce revolutionary applications in the next decade. In this review, we present the current applications of DTs covering multiple areas of healthcare (precision medicine, clinical trial design, and hospital operations) to identify the opportunities and the barriers that foster or hinder their larger and faster diffusion. Finally, we discuss the current findings, opportunities and barriers, and provide recommendations to facilitate the continuous development of DTs application in healthcare.

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Section: Concept and Current Applications Of Dts In Healthcarementioning

confidence: 99%

Section: Open Issues and Challengesmentioning

confidence: 99%

Section: Open Issues and Challengesmentioning

confidence: 99%

See 1 more Smart Citation

Digital Twins in Healthcare: Is It the Beginning of a New Era of Evidence-Based Medicine? A Critical Review

Armeni

Polat

Rossi

et al. 2022

JPM

View full text Add to dashboard Cite

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“…DT could also assist with predictive maintenance and ongoing repair of medical equipment. The DT within the medical environment has the potential, along with Artificial Intelligence (AI), to make life-saving decisions based on real-time and historical data [35].…”

Section: Applications Of Digital Twinsmentioning

confidence: 99%

Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System

et al. 2022

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The significant progress in the electric automotive industry brought a higher need for new technological innovations. Digital Twin (DT) is one of the hottest trends of the fourth industrial revolution. It allows representing physical assets under various operating conditions in a low-cost and zero-risk environment. DTs are used in many different fields from aerospace to healthcare. However, one of the perspective applications of such technology is the automotive industry. This paper presents an overview of the implementation of DT technology in electric vehicles (EV) propulsion drive systems. A general review of DT technology is supplemented with main applications analysis and comparison between different simulation technologies. Primary attention is given to the adaptation of DT technology for EV propulsion drive systems.

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“…In contrast to conventional sensory devices, fabric sensors can be embedded into any clothing, furniture, dummy body and other flexible items to collect multi-source data in a nearly imperceptible way. The different kinds of fabric materials include piezoelectric [34][35][36], triboelectric [37][38][39], magnetoelectric [40,41], textile piezoresistive sensor [42,43],…”

Section: Architecture Of Intelligent Fabric Spacementioning

confidence: 99%

Digital Medical Education Empowered by Intelligent Fabric Space

Tao

Chen

Wang

et al. 2022

NSO

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Medical education plays an important role in promoting the development of global medical science. Nevertheless, the intrinsic gap existing between institutional medical teaching and practical clinical tasks causes low education efficiency and students’ weak initiative. Recent developments of sensing fabric and embedded computing, along with the advances in Artificial intelligence (AI) and digital twin technology are paving the way for the transformation of medical research towards digitization. In this work, we present an intelligent fabric space based on novel functional fabric materials and digital twin networking enabled by 5G and Internet of Things (IoT) technologies. In this space, medical students can learn knowledge with collaborative mapping of the digital and real world, cyber-physical interaction and real-time tactile feedback. And the proposed service system will evaluate and feedback students’ operational behaviors to improve their experimental skills. We provide four typical applications of intelligent fabric space for medical education, including medical education training, health and behavior tracking, operation playback and reproduction, as well as medical knowledge popularization. The proposed intelligent fabric space has the potential to promote innovative technologies for training cutting-edge medical students by effective and efficient ways.

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The Digital Twin Revolution in Healthcare

Cited by 157 publications

References 2 publications

Digital Twins in Healthcare: Is It the Beginning of a New Era of Evidence-Based Medicine? A Critical Review

Digital Twins in Healthcare: Is It the Beginning of a New Era of Evidence-Based Medicine? A Critical Review

Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System

Digital Medical Education Empowered by Intelligent Fabric Space

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