AI for Ophthalmological
Measurement System

AI for Ophthalmological
client

Client:

Medical company
Medical Devices

Industry:

Healthcare
core technologies

Core technologies:

Python / PyTorch
country

Country:

USA
Challenge

Challenge

There was a need for a solution that allows precise and accurate assessments of proptosis patients from their homes, reducing the need for pre-surgery hospital visits and providing real-time post-surgery evaluations.
Solution

Solution

Glorium Technologies developed an end-to-end ophthalmological measurement system using advanced computer vision segmentation models. Our model outperforms Google Facemesh, providing more accurate and reliable measurements.
Data:
Actual and synthetic images of faces generated by AI models.
Challenge
Features
Gear2

Features:

Our developers developed an AI model to generate synthetic images of faces. These images were then auto-labeled and preprocessed to adapt to CV models, ensuring high-quality training data and robust model performance.
CV segmentation model
To guarantee precise and accurate measurements, we implemented advanced segmentation models capable of accurately identifying and measuring various parts of the eye, including the eyelids, eyebrows, iris, and sclera.
Web/smartphone app:
The solution includes a user-friendly web and smartphone app, allowing patients to conduct assessments at home without the need for hospital visits.

Business Value

Improved patient outcomes
Web/smartphone app eliminates the need for pre-surgery hospital visits and ensures that patients can access the tool anytime, anywhere.
Boosting productivity
Boosting revenue
By streamlining the assessment process and reducing the need for in-person visits, the hospital increased its capacity to serve more patients. This efficiency led to a significant boost in revenue.
Quick start
Competitive edge
Implementing CV models and AI-generated synthetic images makes the medical company a leader in innovative healthcare solutions.
Flexibility

Tech Stack:

Python
Python
Scikit Learn
Scikit Learn
PyTorch
PyTorch
aws 1
AWS
SQL Server
SQL Server