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Digital twins in ophthalmology: Concepts, applications, and challenges

  • Kezheng Xu
  • , Xiaolan Chen
  • , Bowen Liu
  • , Kai Jin
  • , Mingguang He (Corresponding Author)
  • , Danli Shi (Corresponding Author)

Research output: Journal article publicationLetterpeer-review

Abstract

Recent advances in digital technologies have unlocked unprecedented opportunities for high-fidelity simulations of complex biological systems.1 Digital twins (DTs), which are dynamic digital replicas of physical entities, that mirror their behavior in real time, are poised to revolutionize medicine by enabling predictive modeling of disease progression and personalized interventions.2 The eye, with its unique anatomical and physiological features such as optical transparency, immune privilege, and accessibility to non-invasive high-resolution imaging, emerges as an ideal frontier for DT innovation. As research in ophthalmic DTs accelerates, an understanding of their foundational principles, clinical applications, and unresolved challenges is urgently needed (Fig. 1).
Original languageEnglish
Article number100205
Pages (from-to)1-3
Number of pages3
JournalAsia-Pacific Journal of Ophthalmology
Volume14
Issue number6
Early online date14 May 2025
DOIs
Publication statusPublished - 1 Nov 2025

Keywords

  • Computational modeling
  • Digital medicine
  • Digital twin
  • Generative artificial intelligence

ASJC Scopus subject areas

  • Ophthalmology

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