Fast and effective patient triaging and treatment
In the instances of retinal conditions such as Diabetic Retinopathy, Age-related Macular Disease or Glaucoma, early diagnosis followed by treatment planning and monitoring is essential to prevent complicated vision issues and potentially even blindness. Hence, a fast and precise solution is needed to enable better care value in hospital systems.
The Challenge:
Population aging and decreasing ophthalmologist-to-patient ratio form an irreversible global trend, strongly impacting the value of eye care delivery, all over the world. Hospitals are experiencing increased workload with no sufficient capacity, resulting in long patient waiting times and delayed interventions. This has a direct effect on timely diagnosis and treatment outcomes to prevent further progression of eye diseases. Especially in the case of Diabetic Retinopathy, an early diagnosis and treatment can significantly prevent further deterioration of the vision.
The Solution
Automation of eye image analysis with Artificial Intelligence offers a unique possibility to face the challenge. The AI-enabled and clinically validated software such as RetCAD can facilitate a reliable selection of people with first signs of eye disease before they even reach a hospital, helping to drastically decrease the workload at specialized care. Focusing then more on advanced eye examinations, ophthalmologists at the medical centers can not only diagnose and triage more patients quicker with even more precision and accuracy, timely initiating treatment where needed.
