AI Diagnostic system to detect Diabetic Retinopathy

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Why choose Ophtha AES?

Ophtha AES Benefits
  • Industry-leading ophthalmology software solutions
  • Seamless integration with existing hospital systems
  • Enhanced patient care and workflow efficiency
  • Advanced data analytics and reporting
  • 24/7 technical support and training
  • Customizable solutions for your specific needs

Ophtha AES

AI Eye Screening System

As your eyes are the windows to the world, AI-based solutions are being designed, developed, and trained to diagnose retinal-associated diseases and disorders to treat the populace at an affordable cost yet with accurate results. Thus, OPHTHA AES is capable of detecting conditions (automatically segmenting pathological features) related to DR and detecting the existence of DR and pathological features (exudates, hemorrhages, microaneurysms, neovascularization) based on which the classification is done.

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About Us

We're revolutionizing diabetic retinopathy detection through AI-powered technology, making diagnosis faster, more accurate, and accessible to everyone.

Advanced AI Technology

Utilizing state-of-the-art artificial intelligence for accurate retinopathy detection.

Medical Expertise

Developed in collaboration with leading ophthalmologists and medical professionals.

Patient-Centric

Focused on providing accessible and affordable diagnostic solutions for all patients.

Our Mission

To realize a day where each and everyone on the planet can afford and access modern technological products to lead a healthier life.

Our Vision

To innovate AI-driven predictive and preventive solutions with the right fusion of advanced diagnostics to save and improve more human lives.

Features

FULLY-AUTONOMOUS

From retinal image screening to grading for DR standards to reporting and flagging, our system operates as a fully autonomous solution.

FULLY-AUTONOMOUS

ETDRS GRADING

Our solution offers you with high results performance figures including 87.7% validation accuracy and 81.1% test accuracy.

ETDRS GRADING

SECURE, CLOUD-BASED DESIGN

Your data is secured and confidential with us. Ophtha AES uses novel and effective encryption and decryption technologies end-to-end, with highest level of compliance.

SECURE, CLOUD-BASED DESIGN

Our Achievements

Setting new standards in AI-powered medical diagnostics with proven results and recognition.

2018 Kotiyak Watina Adahasak - First Runners Up

2018 Kotiyak Watina Adahasak - First Runners Up

Ophtha AES was awarded as the first runners up in "Sirasa Kotiyak Watina Adahasak" competition in 2018.

Our Publications

Leading research and innovation in AI-powered medical diagnostics.

A Rule based Approach for Hemorrhage Detection in Digital Fundus Photographs
IEEE Conference Publication

A Rule based Approach for Hemorrhage Detection in Digital Fundus Photographs

Hemorrhages are one of the earliest signs of Diabetic Retinopathy, hence accurate detection of hemorrhages is crucial in an automated DR detection system. In this paper, a novel and robust rule based methodology for automated detection of hemorrhages is proposed.

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A Novel Method of Detecting Neovascularization Regions in Digital Fundus Photographs
IEEE Conference Publication

A Novel Method of Detecting Neovascularization Regions in Digital Fundus Photographs

Neovascularization is one of the retinal signs we see in the proliferative stage of diabetic retinopathy (DR). This paper highlights a novel and a robust methodology for neovascularization detection.

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Learn

Explore our comprehensive learning resources and educational materials.

Our Team

Meet the experts behind Ophtha AES

Dr. Dhanushi Hettiarachchi

Dr. Dhanushi Hettiarachchi

MBBS

Chief Executive Officer

Eng. Shashika Chamod Munasinghe

Eng. Shashika Chamod Munasinghe

BSc. Eng, MSc. Eng

Chief Technology Officer

Dr. Dushani Thennakoon

Dr. Dushani Thennakoon

MBBS

Head of clinical studies

Eng. Dilki Dandeniarachchi

Eng. Dilki Dandeniarachchi

BSc. Eng, MSc. Business intelligence

Software Engineer

Dr. Sharathi Sirimanne

Dr. Sharathi Sirimanne

MBBS

Researcher

Contact Us

Get in touch with us to discuss your project requirements

Our Location

Bay X, Trace Expert City, Maradana Road
Colombo 10, Sri Lanka.

Trace Expert City, Colombo 10, Sri Lanka
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Phone

076 621 0120

Email

dhanuh.es@gmail.com