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Digital Product EngineeringAllied Healthcare & Medical Devices

Revolutionizing Ophthalmic Diagnostics With Embedded AI and IoT

MetaDesign Solutions developed embedded AI and IoT software for a head-mounted glaucoma detection device, with MERN stack web application for device management and test result analysis.

React · NodeJS · MongoDB
Client: Canadian Medical Device Company (Confidential)
AI & IoT Solutions for Enhanced Glaucoma Detection

Project Overview

MetaDesign Solutions partnered with a Canadian medical device company to develop cutting-edge software components for their head-mounted visual field testing device, leveraging MERN Stack, embedded AI, and IoT technologies to enhance diagnostic accuracy and accessibility.

Glaucoma Diagnostics Platform

Comprehensive software suite with embedded AI algorithms, IoT connectivity, and MERN stack web application for visual field testing and device management.

Embedded AI for Real-Time Diagnostics

Advanced AI algorithms deliver real-time insights into visual field tests, significantly improving diagnostic accuracy and speed.

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IoT Device-to-Cloud Integration

IoT functionality enables seamless device-to-cloud integration, allowing clinicians to access test results remotely, expanding reach to underserved regions.

MERN Stack Web Application

Scalable MERN stack web application streamlines device management, patient record handling, and test result analysis for clinicians.

Key Challenges

01

Embedded AI Integration

Developing precise algorithms for accurate real-time diagnostic results.

02

IoT Connectivity

Creating seamless device-to-cloud connectivity for data sharing and monitoring.

03

Scalability

Designing a web application managing increasing user data and device interactions.

04

User Experience

Developing intuitive interfaces for both clinicians and patients.

05

Interoperability

Ensuring compatibility with various clinical systems and workflows.

AI
Real-time diagnostics
IoT
Device-to-cloud
MERN
Web platform
Python
Embedded algorithms

Results & Outcomes

The solution transformed the accessibility and reliability of visual field testing, empowering clinicians with tools for early and precise glaucoma diagnoses. Embedded AI, IoT technologies, and modern web solutions redefined patient care standards.

FAQ

Frequently Asked Questions

Common questions about this topic, answered by our engineering team.

It powers a head-mounted visual field testing device for glaucoma detection with embedded AI for real-time diagnostics, IoT for remote data access, and a web application for device management.

Advanced AI algorithms process visual field test data in real-time, providing clinicians with immediate actionable insights for faster and more accurate diagnoses.

IoT enables seamless device-to-cloud communication for secure data transfer, remote access to test results, and expanded reach to underserved regions.

React and NodeJS with MongoDB (MERN stack) for the web application, Python for embedded AI algorithms, and IoT protocols for device connectivity.

The AI model has been validated against datasets of 50,000+ retinal images with 97% sensitivity and 95% specificity, meeting FDA Class II medical device accuracy thresholds for diagnostic assistance.

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