Introducing A Novel Application For Intraocular Lens Selection With Patient Biometrics And Visual Behavior

This presentation evaluates a novel approach to optimize intraocular lens (IOL) selection using patient biometrics and visual behavior.

Centre Ophtalmologique IRIDIS, Albi, France.

We have developed an innovative application, named IOL MATCH, collaboratively among surgeons, gathering patients' visual behavior and biometric data to aid in selecting the most appropriate IOLs, particularly adapted for presbyopia correction. Emphasizing efficiency, our approach aligns patient visual needs and habits with IOL selection. Biometric inputs, such as corneal or retinal conditions, aberrometric parameters, and tear film status, are directly integrated into the application to inform IOL choices. The application generates comprehensive reports matching IOL defocus curves and visual habit, facilitating surgeons in determining the optimal IOL type.

Over two years of development were necessary to propose a new approach in implant selection, aiming to improve patient and surgeon satisfaction. A presentation and thorough analysis of the benefits (satisfaction) brought by IOL MATCH to surgeons will be provided at the congress.

Customizing IOL selection to individual ocular conditions, patient visual requirements, and habits is imperative for achieving optimal outcomes. IOL MATCH addresses this needs by objectively assessing parameters previously overlooked in the selection process, thereby enhancing the satisfaction of both patients and surgeons.