The challenge
With the ageing population, cases of AMD, RVO or DME are globally on the rise, making it hard for specialized eye clinics to keep up with the growing demand for regular treatments. “As doctors, we want to give each patient the necessary attention and treatment frequency that they need”, says Sebastian Wolf, Head of the Ophthalmology Department of the Inselspital that currently sees 6000 patients with AMD, RVO and DR. “But it is also an organizational challenge to meet all patients’ needs and be able to study all relevant eye imaging data to assess individual disease progression and take treatment decisions in the short time given.”
To monitor progression of the chronic eye conditions, Optical Coherence Tomography (OCT), an imaging tool that generates 3D images of the eye at extremely high resolution, is usually applied. In collaboration with the ARTORG Center for Biomedical Engineering Research, the Inselspital has developed automated OCT analysis tools based on artificial intelligence, which can assist eye doctors in the assessment of a whole patient OCT-set in just a few seconds. Together with RetinAI, a startup specialized in AI-based eye care technologies, they now have conducted a retrospective study of patients to assess how well AI can predict anti-VEGF treatment demand from the start.