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Biomechanically Informed Patient-Specific in Silico Models for Laser Refractive Surgery
Benedetta Fantaci1, Elena Redaelli2,3, Mònica Martí4
1Aragón Institute of Engineering Research (I3A), Universidad de Zaragoza, Zaragoza, Calle de Mariano Esquillor Gómez s/n, 50018, Spain. bfantaci@unizar.es.
Annals of Biomedical Engineering
|April 8, 2026
Summary
This study introduces a personalized method to simulate refractive surgery outcomes using patient-specific corneal biomechanics. The approach accurately predicts results, enhancing surgical planning for safer, more predictable vision correction.
Area of Science:
- Ophthalmology
- Biomechanical Engineering
- Computational Modeling
Background:
- Corneal biomechanics is critical for refractive surgery success.
- Accurate simulation of surgical effects is needed for personalized treatment planning.
Purpose of the Study:
- To develop and validate a patient-specific methodology for simulating refractive surgery.
- To analyze the optomechanical effects of PRK, LASIK, and SMILE.
Main Methods:
- Incorporated patient-specific corneal biomechanical properties into finite element simulations.
- Utilized artificial neural networks to estimate mechanical properties from tonometry data.
- Integrated corneal deformation, intraocular pressure (IOP), and geometry data.
Main Results:
- The framework successfully simulated postoperative corneal responses with a mean dioptric error of +0.40 ± 0.30 D.
- SMILE demonstrated the most significant mechanical impact on the corneal model.
- Patient-specific geometry, IOP, and biomechanics were key inputs.
Conclusions:
- Introduced a personalized, biomechanically informed approach for simulating corneal behavior post-refractive surgery.
- The framework improves surgical planning and prediction of refractive stability.
- Offers a step towards personalized refractive correction with safer, predictable outcomes.
