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Development of an AI-Powered Ophthalmological Measurement System for Remote Patient Assessments

gloriumtech.com

Medical

Healthcare

Challenges in Traditional Ophthalmological Assessments

Current ophthalmological assessment methods require frequent in-person hospital visits for proptosis patients, leading to increased costs, logistical burdens, and delayed post-surgery evaluations. Existing computer vision solutions like Google Facemesh lack sufficient accuracy for critical eye measurements.

About the Client

Healthcare technology company specializing in AI-driven diagnostic solutions

Project Goals

Enable remote patient assessments through a web/smartphone application
Develop a computer vision segmentation model with superior accuracy to existing solutions
Implement synthetic image generation for robust AI training data
Create an automated measurement system for eye anatomy (eyelids, eyebrows, iris, sclera)

Core System Capabilities

AI model for synthetic face image generation
Automated image labeling and preprocessing pipeline
High-precision eye anatomy segmentation model
Real-time measurement calculation engine
Cross-platform web and mobile application interface

Technology Stack Requirements

Python

PyTorch

AWS

SQL Server

Scikit Learn

System Integration Needs

Google Facemesh API for benchmarking
Cloud storage APIs for medical image management
Mobile OS camera APIs for smartphone application

Performance and Quality Standards

Medical-grade measurement accuracy (sub-millimeter precision)
HIPAA-compliant data security measures
Scalable cloud infrastructure for concurrent patient assessments
99.9% system availability with AWS redundancy

Expected Business and Healthcare Impact

Implementation will reduce pre-surgery hospital visits by 70%, increase patient assessment capacity by 300%, and improve surgical outcome tracking through real-time post-operative monitoring. The solution will position the client as a leader in AI-powered telemedicine while creating opportunities for FDA-approved medical device certification.