Digital twins for well-being: an overview

Ferdousi, Rahatara; Laamarti, Fedwa; Hossain, M. Shamim; Yang, Chunsheng; Saddik, Abdulmotaleb El

doi:10.12688/digitaltwin.17475.2

Cited by 22 publications

(12 citation statements)

References 35 publications

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“…This requires continuous updating and capturing of dynamic information by digital twins in the future, as well as the improvement of the data platform that facilitates mapping, interaction, and iterative optimization. Integrating digital twins effectively into clinical workflows can support clinical interventions, assist physicians in making informed decisions, and increase the standard of patient care 6 .…”

Section: Discussionmentioning

confidence: 99%

“…This approach significantly impacts various diseases, potentially improving overall health while reducing healthcare costs 3 , 4 . Within this context, digital twins emerged as a promising technology 5 , creating digital replicas of the human body through two key steps: building mappings and enabling dynamic evolution 6 . Unlike traditional data mining methods, digital twins consider individual variability, providing continuous, dynamic recommendations for clinical practice 7 .…”

Section: Introductionmentioning

confidence: 99%

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The effectiveness of digital twins in promoting precision health across the entire population: a systematic review

Shen,

Chen,

Ding

2024

npj Digit. Med.

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Digital twins represent a promising technology within the domain of precision healthcare, offering significant prospects for individualized medical interventions. Existing systematic reviews, however, mainly focus on the technological dimensions of digital twins, with a limited exploration of their impact on health-related outcomes. Therefore, this systematic review aims to explore the efficacy of digital twins in improving precision healthcare at the population level. The literature search for this study encompassed PubMed, Embase, Web of Science, Cochrane Library, CINAHL, SinoMed, CNKI, and Wanfang Database to retrieve potentially relevant records. Patient health-related outcomes were synthesized employing quantitative content analysis, whereas the Joanna Briggs Institute (JBI) scales were used to evaluate the quality and potential bias inherent in each selected study. Following established inclusion and exclusion criteria, 12 studies were screened from an initial 1321 records for further analysis. These studies included patients with various conditions, including cancers, type 2 diabetes, multiple sclerosis, heart failure, qi deficiency, post-hepatectomy liver failure, and dental issues. The review coded three types of interventions: personalized health management, precision individual therapy effects, and predicting individual risk, leading to a total of 45 outcomes being measured. The collective effectiveness of these outcomes at the population level was calculated at 80% (36 out of 45). No studies exhibited unacceptable differences in quality. Overall, employing digital twins in precision health demonstrates practical advantages, warranting its expanded use to facilitate the transition from the development phase to broad application.PROSPERO registry: CRD42024507256.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The effectiveness of digital twins in promoting precision health across the entire population: a systematic review

Shen,

Chen,

Ding

2024

npj Digit. Med.

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“…While DTs have the potential to deliver significant societal benefits and function as a social equalizer, they can also be a driver for inequality as patterns identified across populations may lead to segmentation such that the DT technology may not be accessible to everyone 82 . Privacy and high costs of DT healthcare system development are some of the main considerations as these may lead to inequities and injustice and widening of socioeconomic gap and introducing an additional instance of digital divide [83][84][85] .…”

Section: Review Articlementioning

confidence: 99%

Digital twins for health: a scoping review

Katsoulakis,

Wang,

et al. 2024

npj Digit. Med.

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The use of digital twins (DTs) has proliferated across various fields and industries, with a recent surge in the healthcare sector. The concept of digital twin for health (DT4H) holds great promise to revolutionize the entire healthcare system, including management and delivery, disease treatment and prevention, and health well-being maintenance, ultimately improving human life. The rapid growth of big data and continuous advancement in data science (DS) and artificial intelligence (AI) have the potential to significantly expedite DT research and development by providing scientific expertise, essential data, and robust cybertechnology infrastructure. Although various DT initiatives have been underway in the industry, government, and military, DT4H is still in its early stages. This paper presents an overview of the current applications of DTs in healthcare, examines consortium research centers and their limitations, and surveys the current landscape of emerging research and development opportunities in healthcare. We envision the emergence of a collaborative global effort among stakeholders to enhance healthcare and improve the quality of life for millions of individuals worldwide through pioneering research and development in the realm of DT technology.

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“…By simulating care scenarios and facilitating remote monitoring, DTs enable personalized interventions and support systems. As research in DT technology progresses, it offers transformative potential in Alzheimer's care, providing invaluable insights into cognitive and behavioral patterns and improving the overall quality of life for affected individuals and their caregivers [72].…”

Section: A Future Opportunitiesmentioning

confidence: 99%

ICT-Based Solutions for Alzheimer’s Disease Care: A Systematic Review

Ali,

Turetta,

Demrozi

et al. 2024

IEEE Access

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In recent years, there has been a growing recognition of the significant challenges posed by Alzheimer's Disease (AD) and the need for innovative solutions to improve the quality of life for affected individuals. As AD prevalence continues to rise, technological advancements offer promising opportunities to address the multifaceted needs of patients and caregivers. This survey paper thoroughly investigates technological innovations in AD care, offering valuable insights into cutting-edge approaches that have the potential to positively impact the lives of affected individuals. By providing a holistic view of available assistive solutions, we review 2459 papers and select 46 relevant studies published between 2015 and 2023, specifically focusing on healthcare technologies and solutions, and utilized sensing methods. The former will include Telemedicine, E-Health, Smart Environment, Internet of Things (IoT), Ambient Assisted Living (AAL), Internet of Medical Things (IoMT), and Personalized Assistive Solutions (PAS), while the latter encompasses Wearable/Environmental, Radio/Audio, Video/Image, and Digital Platforms. Our comparative assessment of recent survey papers reveals the unique contribution of this study, as it comprehensively examines the intersection of multiple parameters. By summarizing insights from these studies, we identify gaps and recommend future directions for advancements in AD care.INDEX TERMS Ambient Assisted Living (AAL), Alzheimer's disease (AD), Internet of Medical Things (IoMT), Internet of Things (IoT), Systematic Literature review, Personalized Assistive Solutions.

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Digital twins for well-being: an overview

Cited by 22 publications

References 35 publications

The effectiveness of digital twins in promoting precision health across the entire population: a systematic review

The effectiveness of digital twins in promoting precision health across the entire population: a systematic review

Digital twins for health: a scoping review

ICT-Based Solutions for Alzheimer’s Disease Care: A Systematic Review

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