Embedded AI & IoT Platform for Advanced Glaucoma Detection

Overview

MetaDesign Solutions partnered with a Canadian medical device innovator to develop advanced software components for a flagship head-mounted visual field testing device.

By integrating embedded AI and IoT technologies, the solution enhanced diagnostic precision, enabled remote monitoring, and improved patient accessibility in glaucoma detection workflows.

Client challenges

The client faced multiple technical and clinical challenges:

• Developing real-time AI algorithms for accurate glaucoma diagnostics
• Creating seamless device-to-cloud connectivity for monitoring and reporting
• Designing scalable architecture to manage growing clinical data
• Ensuring interoperability with existing clinical systems
• Delivering intuitive user experiences for both clinicians and patients

Objectives

The project aimed to:

• Embed AI models for instant diagnostic analysis
• Enable secure IoT connectivity for remote monitoring
• Build scalable backend infrastructure
• Improve accessibility and diagnostic efficiency
• Ensure adaptability for future product enhancements

Solution approach

MetaDesign Solutions delivered a comprehensive embedded AI and IoT solution:

Embedded AI Integration

Advanced algorithms were integrated directly into the device to enable real-time analysis during visual field testing, significantly improving diagnostic speed and reliability.

IoT Connectivity

Secure device-to-cloud architecture allowed clinicians to access test results remotely, enhancing monitoring capabilities and expanding access to underserved regions.

Scalable MERN Architecture

Using MERN stack technologies, the web application streamlined device management, patient records, and analytics while maintaining scalability for future growth.

Implementation process

The implementation was carried out in clearly defined stages:

• Embedded AI algorithm integration for real-time diagnostics
• Secure IoT communication setup for cloud synchronization
• MERN stack web platform development
• Clinical workflow integration and testing
• Performance optimization for reliability and compliance

Results

The collaboration resulted in a next-generation glaucoma diagnostic platform:

• Real-time AI-driven detection capabilities
• Improved accessibility through cloud connectivity
• Enhanced diagnostic accuracy and workflow efficiency
• Scalable architecture supporting future expansion
• Strengthened reliability and medical-grade performance

The solution demonstrates how embedded AI and IoT technologies can transform ophthalmic diagnostics, improving patient outcomes while expanding access to early detection tools.