AI Services

AI Powered Smart Healthcare for All

EYESHA is a startup that provides AI-powered software solutions offering services such as diagnosing diabetes, grading diabetic retinopathy (DR) and diabetic macular edema (DME), and detecting glaucoma. Additionally, EYESHA's solutions can predict cardiometabolic biomarkers, including HbA1C, glucose levels, lipid profiles, and vitamin D levels.

Products

A bird's eye view of our available products and applications.

Desktop application demo for screening diabetes using retinal fundal images

Mobile application Diabetic Macular Edema Grader

Mobile application Diabetic Macular Edema (DME) Grader Interface Preview

Advanced Retinal AI Diagnostics

Empowering ophthalmologists with state-of-the-art deep learning for automated biomarker detection and disease progression analysis.

Comprehensive Diagnostic Platform

Our Advanced Retinal AI Diagnostics platform leverages cutting-edge deep learning algorithms to automatically detect and analyze retinal biomarkers with clinical-grade accuracy. Enable faster, more accurate diagnosis of diabetic retinopathy, age-related macular degeneration, glaucoma, and other retinal conditions.

Advanced Retinal AI Diagnostics Platform - AI-powered ophthalmology diagnostic interface

Integrated Diagnostic Modules

Access a comprehensive suite of AI-powered diagnostic modules designed for accurate detection of multiple retinal pathologies. Each module is trained on extensive clinical datasets to ensure reliable and consistent results across diverse patient populations.

Diagnostic modules for retinal disease detection - Biomarker analysis tools

Automated Biomarker Detection

Get real-time analysis of retinal biomarkers with AI-powered predictions. Our system identifies key diagnostic indicators including microaneurysms, hemorrhages, exudates, and other pathological features essential for disease staging and treatment planning.

AI biomarker detection results - Automated retinal pathology identification

Disease Progression Analysis

Track disease progression over time with advanced analytics. Our AI algorithms quantify biomarker severity, monitor treatment response, and provide actionable insights for personalized patient management and clinical decision-making.

Disease progression tracking - Advanced retinal biomarker analysis results
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Research

CVDNet - EYESHA Research AI Healthcare

CVDNet

Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning

DiaNet - EYESHA Research AI Healthcare

DiaNet

DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only

DMENet - EYESHA Research AI Healthcare

DMENet

Diabetic Macular Edema Detection based on Non-mydriatic Retinal Image

DMEgrader - EYESHA Research AI Healthcare

DMEgrader

DMEgrader: Android Mobile Application for Diabetic Macular Edema Grading Prediction

Optical Disc Segmentation - EYESHA Research AI Healthcare

Optical Disc Segmentation

Optical Disc Segmentation from Retinal Fundus Images Using Deep Learning

Optic Disc and Fovea Localization - EYESHA Research AI Healthcare

Optic Disc and Fovea Localization

A Deep Learning-Based Approach Towards Simultaneous Localization of Optic Disc and Fovea from Retinal Fundus Images

Retinal Vessel Segmentation - EYESHA Research AI Healthcare

Retinal Vessel Segmentation

Multi-disease Retinal Vessel Segmentation

DiaNet v2 - EYESHA Research AI Healthcare

DiaNet v2

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images

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