Global Oculomics Initiative

Building the world’s first multimodal foundational model for oculoplastic and craniofacial disease.

Basics

The Global Oculomics Initiative is a research program focused on developing large multimodal datasets and foundational models capable of supporting oculoplastic and craniofacial diagnosis, global screening, and clinical decision support. The project integrates three major pillars:

Comprehensive clinical data from UIC, including full EHR histories, imaging archives, and curated multimodal cohorts.
Large-scale external datasets, including millions of eye- and face-region images with automatically extracted periorbital measurements.
Global health deployments, where standardized imaging and metadata collection are performed using the Glorbit platform across diverse international sites.

By combining real-world clinical data, massive-scale pretraining datasets, and prospective global cohorts, this initiative aims to establish a reproducible foundation for next-generation oculoplastics AI.

Website Overview

This site serves as the central hub for the Global Oculomics Initiative. Each section includes milestone-based progress tracking to provide continuously updated insight into the status of the project.

It provides:

A roadmap outlining major research phases and milestones
Detailed descriptions of datasets under development
Documentation for global deployments and field workflows
Progress on all projects
A catalog of tools, repositories, and computational assets
A list of publications from this line of work
How to get involved as a new collaborator

Institutional Collaborators

UIC
Illinois Ear and Eye Infirmary
UIC Plastic and Reconstructive Surgery
Artificial Intelligence in Ophthalmology Center at UIC
Panorama Research Institutes
Quina Care, Putumayo Ecuador

Funding Sources

This work is supported by an unrestricted grant from Research to Prevent Blindness, a donation from the Cless Family Foundation, and the National Institutes of Health P30 EY001792 core grant.