ABOUT US
Digital eye care built by an ophthalmologist
MEDIUS fills the gap of 'logging your eyes every day, before the clinic.' We connect clinical practice, AI, and data self-sufficiently inside one company.
MISSION
The problem we solve
In the digital era, the eyes are the most overworked organ — yet there has been no standardized way to record one's eye condition before visiting an ophthalmologist. Mobile eye-photo apps lack reproducibility due to lighting and distance variance, and consumer eye-exercise devices cannot objectively measure whether the exercise was performed. MEDIUS fills the gap of recording your eyes every day, under the same conditions.
- Non-diagnostic self-logging under standardized conditions
- Assisted early recognition of change and abnormal signals
- Improved access to eye examination
FOUNDER
Daehwan Shin — CEO · Research Lead
Ophthalmologist
Drawing on clinical practice and image reading, he leads ICatcher planning and development. Having an ophthalmologist perform data labeling and content validation directly is the core competitive edge of MEDIUS.
Active Medical AI Research Projects (PI)
- Explainable AI (XAI) for retinal image analysis — under submission to an international journal
- Regional Healthcare Research Capacity R&D — Fundus image-based oculomics project (Jeju National University Hospital, KHIDI)
- LLM-based patient-question classification system — analysis research
Past Medical AI Project Experience
- Research on Accelerated Learning Methods for AI-driven Medical Image Analysis — KAIST Center for Neuroscience-inspired Artificial Intelligence (2021)
- Doctor-AI Coevolution System Development Project — KAIST Center for Neuroscience-inspired Artificial Intelligence (2023)
- Lee, J., Lee, J., Cho, S., Song, J., Lee, M., Kim, S. H., Lee, J. Y., Shin, D. H., ... & Park, D. (2021). Development of decision support software for deep learning-based automated retinal disease screening using relatively limited fundus photograph data. Electronics, 10(2), 163. (SCI)
VALIDATION
Government & academic validation
2026 Startup-Centric University selection
Selected on the ICatcher commercialization track; agreement stage in progress.
Startup Growth Technology (Didimdol) R&D
Driving core R&D for non-diagnostic digital eye care.
Regional healthcare R&D lead
Conducting fundus-based systemic-disease prediction AI research.
Intellectual property
Three Ocumate · I-Catcher trademark filings; core technology patents in progress.
PARTNERS
Our collaboration partners
HealthCloud Inc.
Eye-imaging device development · AI image-correction advisory
Monorama Inc.
Backend · reporting system collaboration