This paper is in the following e-collection/theme issue:

Digital Health Reviews (1754) Clinical Information and Decision Making (1955) Clinical Informatics (1350) Digital Health, Telehealth and e-Innovation in Clinical Settings (563)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55015, first published .
Digital Twins for Clinical and Operational Decision-Making: Scoping Review

Digital Twins for Clinical and Operational Decision-Making: Scoping Review

Digital Twins for Clinical and Operational Decision-Making: Scoping Review

Authors of this article:

Vahid Riahi1 Author Orcid Image ;   Ibrahima Diouf1 Author Orcid Image ;   Sankalp Khanna2 Author Orcid Image ;   Justin Boyle2 Author Orcid Image ;   Hamed Hassanzadeh2 Author Orcid Image
Article Authors Cited by (17) Tweetations Metrics

Journals

  1. Gálvez del Postigo Gallego L, Lazarova‐Molnar S, del Real Torres A, Acevedo Galicia L. Decision Support Within Digital Twins in Manufacturing Ecosystems: A Review. IET Collaborative Intelligent Manufacturing 2025;7(1) View
  2. Casado-Suela M, Torres-Macho J, Izquierdo-Martínez A, Ancos-Aracil C, Ferreira-Burguillos L, Madroñal-Cerezo E, Talaván-Zañón T, Castañeda-Mata A, Escobar-Curbelo L, de la Casa-Muñoz A, Ruiz-Navío E, Bustamante-Fermosel A, Franco-Moreno A. A Digital Twin Strategy to Predict Thrombotic Recurrence in Antiphospholipid Syndrome Patients Treated with Direct Oral Anticoagulants vs. Vitamin K Antagonists Using Data from Real-World Populations. Journal of Clinical Medicine 2025;14(16):5716 View
  3. Ali Z, Waqas M, Hila K. Multi-attributive border approximation area comparison model based on Yager weighted aggregation operators for circular Pythagorean fuzzy information and their application in shortest path problems. The Journal of Supercomputing 2025;81(14) View
  4. Lăzăroiu G, Gedeon T, Halicka K, Szpilko D. Generative artificial intelligence-driven medical digital twin technologies in blockchain Internet of Things wearable sensor and computer vision-based extended reality healthcare metaverse. Engineering Management in Production and Services 2025;17(3):27 View
  5. Zou H, Zheng X, Wu L, Zhang S, Chang P, Chen Y. Digital twins in cardiovascular disease: a scoping review. International Journal of Medical Informatics 2026;206:106138 View
  6. Silva A, Vale N. Digital Twins in Personalized Medicine: Bridging Innovation and Clinical Reality. Journal of Personalized Medicine 2025;15(11):503 View
  7. Cáceres-Gutiérrez D, Bonilla-Bonilla D, Liscano Y, Díaz Vallejo J. From Architecture to Outcomes: Mapping the Landscape of Digital Twins for Personalized Diabetes Care—A Scoping Review. Journal of Personalized Medicine 2025;15(11):504 View
  8. Kaplan D, Palitsky R, Raison C. AI and the coming mental health zombie apocalypse. Molecular Psychiatry 2025;30(12):6063 View
  9. Menon G, Malave B, Mhaske M, Parjane S, Mhaismale H. Digital Twin Technologies in Medicine: The Innovations, Barriers, and Future Directions. Intelligent Hospital 2025:100043 View
  10. Siddiqui R, Lloyd D, Khan N. Integrating molecular pathogenesis and predictive modelling in granulomatous amoebic encephalitis due to Acanthamoeba : a digital twin framework for personalised therapy. Infectious Diseases 2026;58(1):164 View
  11. Olawade D, Ighodaro O, Erhieyovwe E, Hankamo N, Hamza I, Analikwu C. The role of digital twin technology in modern emergency care. International Journal of Medical Informatics 2026;208:106229 View
  12. Castilla-Rodríguez I, Miranda G, Rodríguez-Orihuela C, Segredo E, Marrero A. Towards a Digital Twin for Surgical Waiting List Management: A Preliminary Analysis and Design Study. Procedia Computer Science 2025;274:433 View
  13. Piechowiak M, Goch A, Panas E, Masiak J, Mikołajewski D, Rojek I, Mikołajewska E. From Local to Global Perspective in AI-Based Digital Twins in Healthcare. Applied Sciences 2025;16(1):83 View
  14. Wickramasinghe N, Ulapane N, Zhang Y, Jansons P, Cedersund G, Maddison R. Time Series Models of the Human Heart in Patients with Heart Failure: Toward a Digital Twin Approach. Sensors 2025;26(1):82 View
  15. Mbasso W, Harrison A, Dagal I, Jangir P, Liu Z, Smerat A. Digital‐Twin‐Enabled, Time‐Aware Anomaly Detection for Industrial Cyber‐Physical Systems. Digital Twins and Applications 2026;3(1) View

Books/Policy Documents

  1. Evangeline S. AI-Powered Digital Twins for Predictive Healthcare. View

Conference Proceedings

  1. S K, Prasanth A. 2025 International Conference on Sustainable Communication Networks and Application (ICSCN). Digital twins in Oncology: AI-based Multimodal Data Framework for Cancer Patient Care View