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 language | English |
|---|---|
| Article number | 100205 |
| Pages (from-to) | 1-3 |
| Number of pages | 3 |
| Journal | Asia-Pacific Journal of Ophthalmology |
| Volume | 14 |
| Issue number | 6 |
| Early online date | 14 May 2025 |
| DOIs | |
| Publication status | Published - 1 Nov 2025 |
Keywords
- Computational modeling
- Digital medicine
- Digital twin
- Generative artificial intelligence
ASJC Scopus subject areas
- Ophthalmology
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