Digital twins offer seamless monitoring, analysis, and predictions for complex systems, but face challenges in communication, data accumulation, and interdisciplinary collaboration.

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Human digital twin (HDT) technology can revolutionize healthcare by enabling personalized healthcare services using artificial intelligence and blockchain, but its implementation methods and technical challenges require further investigation.

Human Digital Twin for Personalized Healthcare: Vision, Architecture and Future Directions

Personal digital twins (PDTs) can revolutionize healthcare by enabling more accurate decision-making and treatment selection, but are currently in an early stage.

Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare Industry

Digital twins in healthcare focus on technology development and real-time service, with a focus on health enhancement and real-time capability.

Detecting latent topics and trends of digital twins in healthcare: A structural topic model-based systematic review

Over the last few decades, our digitally expanding world has experienced another significant digitalization boost because of the COVID-19 pandemic. Digital transformations are changing every aspect of this world. New technological innovations are springing up continuously, attracting increasing attention and investments. Digital twin, one of the highest trending technologies of recent years, is now joining forces with the healthcare sector, which has been under the spotlight since the outbreak of COVID-19. This paper sets out to promote a better understanding of digital twin technology, clarify some common misconceptions, and review the current trajectory of digital twin applications in healthcare. Furthermore, the functionalities of the digital twin in different life stages are summarized in the context of a digital twin model in healthcare. Following the Internet of Things as a service concept and digital twining as a service model supporting Industry 4.0, we propose a paradigm of digital twinning everything as a healthcare service, and different groups of physical entities are also clarified for clear reference of digital twin architecture in healthcare. This research discusses the value of digital twin technology in healthcare, as well as current challenges and insights for future research.

Impactful Digital Twin in the Healthcare Revolution

Digital twin technology offers seamless data integration between physical and virtual machines, with potential applications in manufacturing, healthcare, and smart cities.

Digital Twin: Enabling Technologies, Challenges and Open Research

Digital Twin technology can effectively aid in workplace virus containment through social distancing, as demonstrated in the CanTwin case study.

Digital Twins in Healthcare: An Architectural Proposal and Its Application in a Social Distancing Case Study

Digital twins show potential in precision medicine, clinical trial design, and hospital operations, but technical, regulatory, and ethical barriers hinder their wider diffusion and revolutionize healthcare in the future.

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

Digital twins have the potential to revolutionize healthcare by improving patient care, outcomes, and reducing costs, but data security, quality, and interoperability must be addressed before widespread adoption.

Digital Twins: The New Frontier for Personalized Medicine?

Digital twin technology holds promise for personalized patient care and healthcare innovation, but requires advancements in non-invasive data collection, modeling, and computational power to fully achieve its potential.

Digital Twins in Healthcare: Methodological Challenges and Opportunities

Digital twin healthcare (CloudDTH) offers a novel cloud-based framework for personal health management and convergence between medical physical and virtual spaces, benefiting elderly patients.

A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin

The digital twin, combined with Big Data, IoT, and AI, can revolutionize medicine by providing precise diagnosis and personalized treatment, but currently faces challenges in data collection, fusion, and simulation.

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

Digital twins can improve personalized medicine, public health, and smart healthy cities by testing new treatment methods, predicting infectious spread, and optimizing resources.

Experience and prospects of digital twins application in public healthcare

Digital twin technology is rapidly advancing in medicine, enabling precision diagnosis and personalized treatment, but challenges remain in digital healthcare.

Digital twin in healthcare: Recent updates and challenges

Digital twins combined with AI can enhance clinical decision support and provide more patient-centric, precise, and individualized cancer care, potentially improving clinical outcomes and patient satisfaction.

The role of AI for developing digital twins in healthcare: The case of cancer care

This paper identifies 13 characteristics of the Digital Twin and seven knowledge gaps for future research, highlighting the need for a common understanding and solid foundations for future research efforts.

Characterising the Digital Twin: A systematic literature review

Digital Twin technology revolutionizes healthcare by providing innovative solutions for diagnosis, treatment, and personalized medicine, while also advancing personalized medicine and pharmaceutical industry.

The Digital Twin Revolution in Healthcare

Digital twin technology can potentially predict neurological complications in pediatric cancers by analyzing associations between physical patients and virtual counterparts, improving diagnostics, treatment planning, and prognosis.

Digital Twin Technology: The Future of Predicting Neurological Complications of Pediatric Cancers and Their Treatment

Our new deep neural model effectively detects potential vulnerable functions in healthcare digital twins, outperforming state-of-the-art methods.

Cyber Resilience in Healthcare Digital Twin on Lung Cancer

ChatGPT, an artificial intelligence tool, shows promise in accelerating the compilation and expression of knowledge in the Digital Twin in healthcare field, potentially reducing human effort and allowing academics to focus on their studies.

OpenAI ChatGPT Generated Literature Review: Digital Twin in Healthcare

What are the future of digital twins in industry and healthcare?

These studies suggest that digital twins have the potential to revolutionize both industry and healthcare by enabling seamless monitoring, personalized services, and improved decision-making, but face challenges in data integration, technical implementation, and interdisciplinary collaboration.