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Project 

DOCTOR EYE


DOCTOREYE X-EYE is an AI software solution that analyzes optical fundus images to detect the presence of ophthalmic diseases including age-related Macular degeneration, Diabetic retinopathy, Glaucoma, and Epiretinal membrane within seconds.

It supports clinical decision-making by healthcare professionals.


*Approval from the Ministry of Food and Drug Safety (No. D 26-1)

X-BRAIN analyzes optical fundus images to identify potential brain diseases and clinically significant findings, thereby supporting clinical decision-making by healthcare professionals.


*DOCTOREYE X-BRAIN  is currently under research and development.

fundus Camera - RETVIEW100 

AI software - DOCTOREYE series


*On device AI is currently under research and development.

Global Evidence Base


Fundus to EYE / Coronary Artery / Aneurysm

mobile background

Project 

DOCTOR EYE




X-EYE

DOCTOREYE X-EYE is an AI software solution that analyzes optical fundus images to detect the presence of ophthalmic diseases including age-related Macular degeneration, Diabetic retinopathy, Glaucoma, and Epiretinal membrane within seconds.

It supports clinical decision-making by healthcare professionals.

*Approval from the Ministry of Food and Drug Safety (No. D 26-1)

X-BRAIN

Our AI-based system analyzes optical fundus images to identify potential brain diseases and clinically significant findings, thereby supporting clinical decision-making by healthcare professionals.



*DOCTOREYE X-BRAIN  is currently under research and development.

On device AI

fundus Camera - RETVIEW100 

AI software - DOCTOREYE series






*On device AI  is currently under research and development.

Global Evidence Base


Fundus to EYE / Coronary Artery stenosis / Aneurysm

Non-mydriatic fundus imaging enables

early detection of glaucoma

A single-field fundus photograph enables efficient diabetic retinopathy screening.

Fundus imaging detects subtle retinal

membrane changes

Predicting the Degree of Coronary Artery

Stenosis Through Retinal Vascular Characteristics

and Minimal Clinical Information

Optimizing retinal images based carotid atherosclerosis prediction with explainable foundation models

Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms