AI-assisted LASIK is transforming planning, execution, and outcomes by using predictive models and adaptive learning to tailor corrections to individual eyes.

However, realizing these gains requires high-quality data, calibrated instruments, upgraded diagnostic tools, seamless cross-device software integration, and thorough surgeon training to interpret algorithmic recommendations.

Clinical results show about 98% of patients achieving 20/20 or better and roughly 89% reaching 20/16 or better, with fewer optical side effects like glare and halos.

Surgeons, including Dr. Dello Russo, view AI as a surgical partner that improves consistency, reduces follow-up corrections, shortens recovery times, and increases confidence in treatment choices.

The system creates a continuous learning loop where each procedure refines future predictions, enhancing planning and execution over time, given high-quality data and well-integrated equipment.

This approach may expand LASIK eligibility for patients previously considered higher risk due to corneal variability or astigmatism, thanks to data-driven simulations of outcomes.

More broadly, this signals a shift toward adaptive, data-driven precision medicine in elective surgery, with LASIK serving as a proof-of-concept for future procedures.

Alcon’s Wavelight Plus LASIK platform collects extensive eye measurements and uses ray tracing and 3-D imaging to build a detailed digital eye model, or eyevatar, enabling thousands of simulated correction scenarios before surgery.

AI analyzes data from imaging, prescriptions, corneal profiles, and past cases to generate a patient-specific predictive model that guides laser adjustments while preserving the surgeon’s judgment.