top of page
VGC 2019 TLCOAK (29).jpg

REFRACTIVE SURGERY RESEARCH UNIT

The Refractive Surgery and Research Unit’s main mission is to contribute clinically meaningful, evidence-based findings to the field of refractive surgery. The lab aims to widely disseminate the practical knowledge it gains in order to better surgical outcomes and minimize patient risk.

Under the direction of Dr. Avi Wallerstein, the lab’s primary current research is focused on topography-guided LASIK and PRK, excimer laser nomogram development, and corneal collagen crosslinking (CXL). Additional areas of work include postoperative corneal ectasia, Keratoconus diagnosis, and refractive surgery-related complications. Femtosecond laser technologies and intraocular refractive and cataract procedure outcomes using the latest intraocular lenses (IOL) are further fields of investigation.

The unit’s Research Scientist, Dr. Mathieu Gauvin, brings a strong data science expertise to the lab, including data processing, machine learning, pattern recognition, scientific processes automation, and development of software and digital tools for refractive surgery research, and clinical use. Statistical analysis of large and complex datasets serves as an essential tool to gather clinical information that can improve patient treatments and derive forward-looking insights that help predict patient outcomes.

The lab has exclusive access to some of the largest electronic refractive surgery databases, adding more than 75,000 new eye data per year, comprised of LASIK, PRK and IOL surgery. The RSRU database and EMR infrastructure allows the development of advanced surgical nomograms, well controlled prospective clinical trials, and the ability to publish some of the largest and most extensive retrospective clinical research studies in the field.

The interdisciplinary research unit is highly collaborative, involving local and international medical students, residents, and postdoctoral fellows in a wide variety of clinical and data-intensive research projects. The lab also has strong collaborative ties with various world experts and prominent eye surgeons in their field.

Research: About

RESEARCH

Primary Areas of Interest

Contoura2.png

TOPOGRAPHY-GUIDED LASIK AND PRK

Topography-guided vision correction is our main research axis. Our unit has exclusive access to a corporate electronic medical records (EMR) database, with over 150,000 Contoura eyes to date. With such massive datasets, we can derive forward-looking insights that help predict potential outcomes, and understand risk factors that may lead to inferior surgical outcomes.

Keratoconus.png

DIAGNOSIS AND TREATMENT OF KERATOCONUS AND ECTASIA

Our research unit has exclusive access to one of the largest Keratoconus and corneal ectasia database in the world. This allow our research fellows to conduct large-scale corneal imaging studies and explore novel diagnostic modalities. We also study corneal crosslinking outcomes in normals, keratoconus, and patients with postoperative ectasia.

nomograms.png

BIG DATA NOMOGRAMS

Our research unit has exclusive access to some of the largest electronic refractive surgery databases, adding more than 75,000 new eye data per year, comprised of LASIK, PRK and IOL surgery. The RSRU database and EMR infrastructure allows the development of advanced surgical nomograms.

risk_factors.png

OUTCOMES AND PREVENTION OF POSTOPERATIVE COMPLICATIONS

With access to our electronic medical record (EMR), investigators can now mine vast quantities of data, probing for true predictors and risk factors of complications and medical outcomes. The insights gained affect how clinicians practice medicine. As such, our research unit is at the forefront of the type of research that will improve the practice of medicine.

trials.png

TRIALS OF NEW DRUGS
AND MEDICAL DEVICES

Our exclusive access to a high-volume corporate practice population allows us to be among the first to trial new technologies and drugs. Vendors and researchers are drawn to our volume that facilitates large-scale trials to get unbiased answers quickly.

MachineLearning.png

MACHINE LEARNING AND ALGORITHMS

Statistical analysis of large and complex datasets, or machine learning, serves as an essential tool to gather clinical information that can improve patient treatments and derive forward-looking insights that help predict patient outcomes. This is a novel research axis of our research unit.

AstigMATIC_software.png

REFRACTIVE SURGERY SOFTWARE DEVELOPMENT

Our unit is also strong in implementing scientific processes automation, and in developing software and digital tools for refractive surgery research. For example, AstigMATIC, a free standalone application for automated standardized astigmatism vector analyses in corneal and intraocular refractive surgeries was developed by our research unit.

Research: Research
bottom of page