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

Digital Health Reviews (1781) Precision Medicine (174) Clinical Information and Decision Making (2007) Simulation (174)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69544, first published .
Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges

Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges

Advancing Health Care With Digital Twins: Meta-Review of Applications and Implementation Challenges

Authors of this article:

Mickaël Ringeval1 Author Orcid Image ;   Faustin Armel Etindele Sosso2 Author Orcid Image ;   Martin Cousineau1 Author Orcid Image ;   Guy Paré1 Author Orcid Image
Article Authors Cited by (28) Tweetations (3) Metrics

Journals

  1. Amirabdolahian S, Pare G, Tams S. Digital Wellness Programs in the Workplace: Meta-Review. Journal of Medical Internet Research 2025;27:e70982 View
  2. Wu Q, Tan W, Zhou L, Deveci M, Ding W, Martínez L, Pamucar D. An integrated consensus-oriented decision-making framework for exploring the barriers and applications of medical digital twins. Expert Systems with Applications 2025;284:127683 View
  3. Xames M. Data Inaccessibility Is Stifling the Digital Twin Implementation in Health Care. Journal of Medical Internet Research 2025;27:e76524 View
  4. Ijjeh Y, Alsarayreh N, Rifai A, Abdelnabi H, Al-Mahamid S, Alqudah D, Nsairat H, Lafi Z, Mousa M, Al-Hiari Y, Alshaer W. Quality by digital design for accelerated sustainable nanomedicine development. European Journal of Pharmaceutical Sciences 2025;213:107239 View
  5. Kim E, Lim Y. Mapping interconnectivity of digital twin healthcare research themes through structural topic modeling. Scientific Reports 2025;15(1) View
  6. Ringeval M, Raymond L, Pomey M, Paré G. Evolving Medical Students’ Digital Health Perceptions and Intentions: Insights From a Prepandemic and Postpandemic Survey Study. Journal of Medical Internet Research 2025;27:e64804 View
  7. Петренко М, Малахов К. Методологія і практика конвергенції міждисциплінарних знань у сфері цифрової охорони здоров’я. Information Technologies and Systems (Інформаційні технології та системи) 2025;3(3):76 View
  8. Bellocq J, Fétique D. Le rôle clé du compte rendu structuré standardisé en pathologie. Produire aujourd’hui des données de qualité et préparer la pathologie numérique de demain. Annales de Pathologie 2025 View
  9. Novak P. Digital twin framework for postural tachycardia syndrome and autonomic disorders. Frontiers in Neurology 2025;16 View
  10. Görtz M, Brandl C, Nitschke A, Riediger A, Stromer D, Byczkowski M, Heuveline V, Weidemüller M. Digital twins for personalized treatment in uro-oncology in the era of artificial intelligence. Nature Reviews Urology 2026;23(1):29 View
  11. Silva A, Vale N. Digital Twins in Personalized Medicine: Bridging Innovation and Clinical Reality. Journal of Personalized Medicine 2025;15(11):503 View
  12. 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
  13. Park J, Park E, Lee D, Kang S, Lee T, Hong H, Lee S, Kim H, Park Y, Lee U. Human Digital Twins for pervasive healthcare: A scoping review. Health Informatics Journal 2025;31(4) View
  14. Sillé F, Smirnova L, Hartung T. Microphysiological systems as a pillar of the Human Exposome Project. Journal of Biological Chemistry 2025;301(11):110782 View
  15. Seyedi S, González-Rivas J, Mellacheruvu P, Mellacheruvu A, Aledavood S, Esteghamati A, Mechanick J. Cardiometabolic risk reduction with digital twinning in patients with type 2 diabetes. Cardiovascular Diabetology – Endocrinology Reports 2025;11(1) View
  16. 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
  17. Yahya F, Cooper M, Saif W, Kassem M, Nazar H. Development of a Hospital-at-Home Digital Twin for Patients With Frailty: Scoping Review. Journal of Medical Internet Research 2025;27:e81510 View
  18. Blum E, Dy C. Reimagining Nerve Injury Care Through Digital Twins: A Conceptual Framework. Current Problems in Surgery 2026:101989 View
  19. Saade S, Nordin S, Borg J. Exploring Professionals’ Perceptions of the Potential of Digital Twins in Homecare—A Focus Group Study in Sweden. Healthcare 2026;14(3):289 View
  20. Padliya T. One Patient, Two Worlds: Digital Twins for Everyday Prevention and Care. IEEE Pulse 2025;16(5):22 View
  21. Vallod Y. Intelligence artificielle et nouvelles technologies en anesthésie-réanimation. Oxymag 2026;39(206):18 View
  22. Batool Z, Wu Q, Li J, Weng G, Shen B. Digital twin-assisted surgery: technological architecture, integration across surgical phases, implementation challenges and future directions. International Journal of Surgery 2026 View
  23. Hu H, Song Z, Shi W. Large AI Model-Enhanced Digital Twin-Driven 6G Healthcare IoE. Electronics 2026;15(3):619 View

Books/Policy Documents

  1. Tripathi S, Chumnanvej S. Smart Healthcare, Clinical Diagnostics, and Bioprinting Solutions for Modern Medicine. View
  2. Lal S, Wekke I, Singh B, Jain A. Metaverse and Digital Twins. View
  3. Cesario A, Gorini M, D’Amario D. Digital Medicine Starter Guide. View
  4. Dabbagh A, Madadi F, Sassan Sabouri A. Postoperative Critical Care for Adult Cardiac Surgical Patients. View

Conference Proceedings

  1. Dar F, Asif I, Ahmed I. 2026 20th International Conference on Ubiquitous Information Management and Communication (IMCOM). AI-Powered Digital Twin for Personalised Healthcare in the NHS View