Modern ophthalmology clinics face increasing patient volumes while specialist resources remain limited. Efficiently identifying patients requiring urgent attention has become an important challenge for hospitals worldwide.
We are pleased to announce the start of a pilot deployment of EyeCheckup AI at Ankara Etlik City Hospital, where the system will support patient triage during routine ophthalmology visits.
Supporting Clinical Workflows
The pilot focuses on integrating artificial intelligence into existing clinical practice rather than changing how clinicians work.
During routine retinal imaging, EyeCheckup analyzes fundus photographs and assists clinicians by identifying patients who may require closer attention. This allows ophthalmologists to prioritize patients more efficiently while maintaining clinical oversight throughout the diagnostic process.
Improving Patient Flow
AI-assisted triage has the potential to provide several workflow benefits:
- Faster identification of patients requiring specialist attention
- Improved patient flow within busy ophthalmology clinics
- Better utilization of specialist time
- Earlier identification of potentially vision-threatening retinal disease
- Greater clinical efficiency without disrupting existing workflows
The goal is not to replace clinicians, but to provide decision support that helps healthcare teams manage increasing demand.
A Step Toward Scalable AI Integration
Healthcare systems around the world are exploring how artificial intelligence can improve operational efficiency while maintaining high standards of patient care.
This pilot represents another important step toward integrating clinically validated AI into everyday ophthalmology practice and gathering valuable real-world experience.
We look forward to sharing future updates as the pilot progresses.
