The Current Development Status and Challenges of Digital Twin Technology in the Domain of Precision Nursing
Journal: Advanced Journal of Nursing DOI: 10.32629/ajn.v5i4.3241
Abstract
With the rapid development of emerging artificial intelligence technology, digital twin technology provides more possibilities for the development prospects of precision care. Digital twin technology can comprehensively use the comprehensive data information of objects to build virtual entities, and improve the accuracy of model classification and prediction by building dynamic connections between entities and virtual entities. At present, the application of digital twin technology in the field of precision care not only includes the treatment of difficult specialized diseases, but also includes the whole life cycle and the whole population level of health management. This paper summarizes the research progress and challenges in the application of digital twins in the field of precision nursing, providing ideas and directions for further breaking through the technical bottleneck, broadening the application field, accelerating the application and strengthening laws and regulations.
Keywords
digital twins; artificial intelligence; precision care; review
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[3] ARCHIBALD M M, BARNARD A. Futurism in nursing: Technology, robotics and the fundamentals of care [J]. Journal of Clinical Nursing, 2017, 27(11-12): 2473-80.
[4] NG Z Q P, LING L Y J, CHEW H S J, et al. The role of artificial intelligence in enhancing clinical nursing care: A scoping review [J]. J Nurs Manag, 2022, 30(8): 3654-74.
[5] GRIEVES M, VICKERS J. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems [M]. Transdisciplinary Perspectives on Complex Systems. 2017: 85-113.
[6] STARK R, FRESEMANN C, LINDOW K. Development and operation of Digital Twins for technical systems and services [J]. CIRP Annals, 2019, 68(1): 129-32.
[7] GLAESSGEN E, STARGEL D. The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles [Z]. 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA. 2012.10.2514/6.2012-1818
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[9] GUO J, LV Z. Application of Digital Twins in multiple fields [J]. Multimedia tools and applications, 2022, 81(19): 26941-67.
[10] THAMOTHARAN P, SRINIVASAN S, KESAVADEV J, et al. Human Digital Twin for Personalized Elderly Type 2 Diabetes Management [J]. Journal of Clinical Medicine, 2023, 12(6).
[11] VOIGT I, INOJOSA H, DILLENSEGER A, et al. Digital Twins for Multiple Sclerosis [J]. Frontiers in Immunology, 2021, 12.
[12] ZHANG J, LI L, LIN G, et al. Cyber resilience in healthcare digital twin on lung cancer [J]. IEEE access, 2020, 8: 201900-13.
[13] HERNANDEZ-BOUSSARD T, MACKLIN P, GREENSPAN E J, et al. Digital twins for predictive oncology will be a paradigm shift for precision cancer care [J]. Nature Medicine, 2021, 27(12): 2065-6.
[14] CONNELLY M, BOORIGIE M, MCCABE K. Acceptability and tolerability of extended reality relaxation training with and without wearable neurofeedback in pediatric migraine [J]. Children, 2023, 10(2): 329.
[15] LEHRACH H, IONESCU A, BENHABILES N. The Future of Health Care: Deep Data, Smart Sensors, Virtual Patients and the Internet-of-Humans (White Paper-2016) [Z]. July. 2021
[16] POPA E O, VAN HILTEN M, OOSTERKAMP E, et al. The use of digital twins in healthcare: socio-ethical benefits and socio-ethical risks [J]. Life Sciences, Society and Policy, 2021, 17(1)
[17] FULLER A, FAN Z, DAY C, et al. Digital twin: Enabling technologies, challenges and open research [J]. IEEE access, 2020, 8: 108952-71.[21] GUO J, LV Z. Application of Digital Twins in multiple fields [J]. Multimedia tools and applications, 2022, 81(19): 26941-67.
[18] SHAIKH T A, RASOOL T, VERMA P. Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions [J]. Artif Intell Med, 2023, 146: 102692.
[19] BARRICELLI B R, CASIRAGHI E, FOGLI D. A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications [J]. IEEE Access, 2019, 7: 167653-71.
[20] ABBO L M, VASILIU-FELTES I. Disrupting the infectious disease ecosystem in the digital precision health era innovations and converging emerging technologies [J]. Antimicrob Agents Chemother, 2023, 67(10): e0075123.
[21] CARNEVALE A, TANGARI E A, IANNONE A, et al. Will Big Data and personalized medicine do the gender dimension justice? [J]. ai & Society, 2023, 38(2): 829-41.
[22] FERDOUSI R, LAAMARTI F, HOSSAIN M A, et al. Digital twins for well-being: an overview [J]. Digital Twin, 2022, 1: 7.
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