Objective:

To explore the evolution of cataract surgery planning from empirical methods to advanced simulation techniques, emphasizing the critical role of refractive accuracy and patient satisfaction in modern surgical outcomes.

Key Findings:

• Approximately 90% of patients achieve outcomes within ±0.50 D of target refractive error, demonstrating the effectiveness of modern techniques.
• Dissatisfaction with presbyopia-correcting lenses is reported by about 10% of patients, highlighting the need for improved selection methods.
• Optical simulation can help predict visual outcomes more accurately than traditional methods, potentially reducing patient dissatisfaction.

Interpretation:

The integration of optical simulation and AI in cataract surgery planning is essential for achieving personalized and predictable refractive outcomes, effectively addressing both patient expectations and the complexities of clinical practice.

Limitations:

• Current simulation tools require further clinical validation and larger datasets to ensure reliability in diverse patient populations.
• Neuroadaptation effects may complicate the prediction of real-world vision outcomes, necessitating a more nuanced understanding of patient experiences.

Conclusion:

Advancements in optical simulation and AI are set to revolutionize cataract surgery planning, moving towards a more precise and patient-centered approach.