THE CHALLENGE
In the past decade, there have been several technological advancements in premium intraocular lenses (IOLs), which have led to improved outcomes and patient satisfaction. Improved materials, and a proliferation of optics models such as aberration correction, extended depth of focus (EDOF), diffractive multifocal and design improvements in toric IOLs have all contributed to increasing patient satisfaction with outcomes. However, there remains a lack of tools for the surgeon to use to understand whether and which premium option is right for their patient.
THE SOLUTION
The Oculotix algorithm offers the solution to expand the market for premium IOLs. The proprietary optics models and application of machine learning allow surgeons to use their own data to constantly improve the software’s vision outcome analytics. Accurate vision predictions generate higher surgical confidence and greater patient satisfaction.
RESEARCH & DEVELOPMENT
Oculotix AI aggregates data to generate insights on effective optics models and outcomes, with predictive analytics for correlating cause and effect.
Researchers can quickly organize outcomes by patient subgroups. Research is target-based and accelerated to improve lens design success.
COMMERCIALIZATION OF NEW PRODUCTS
Oculotix AI can be used for the development of new markets by putting the optics models to work for better understanding of subsets of patients who will benefit most from new devices introduced to the market.
Providers can move more quickly to adopt new technologies with confidence that they will provide dependable outcomes for their patients.
