Research areas - Research Unit of Ophthalmology (Odense)

Age related Macular Degeneration (AMD)

Explore our groundbreaking work in neovascular age-related macular degeneration (AMD) treatment. We prioritize intravitreal VEGF inhibitor therapy efficacy and uncover potential risk factors.

Artificial Intelligence in the Danish Screening Program for Diabetic Retinopathy

Experience a paradigm shift in diabetic care as we team up with local and global partners to develop deep learning tools for Denmark's retinopathy screening program.

Diabetes, imaging, epidemiology, and AI

Join our "Diabetes, Imaging, Epidemiology, and Artificial Intelligence" working group as we tackle the most common complication of diabetes.

Diabetic retinopathy

Delve into our efforts to evaluate and enhance diabetic retinopathy (DR) screening in Denmark. Through clinical and register-based sub-studies, we validate the Danish Registry of Diabetic Retinopathy (DiaBase) and investigate attendance patterns.

Diabetic retinopathy and mental health

Our research explores the vital intersection of diabetic retinopathy and mental health, aiming to advance patient care and societal well-being. Through clinical and registry data, we investigate the bidirectional association between these domains.

Evidence based ophthalmology

Society relies on rigorous scientific evidence to guide treatment decisions and healthcare planning. Our work in evidence-based ophthalmology synthesizes evidence into valuable insights on prognosis, diagnosis, and treatment of eye diseases.

Real world studies

We prioritize transforming research findings into concrete advantages for patients.

Retinal vascular occlusions

In a groundbreaking register-based study we uncovered a compelling association between retinal vascular occlusions and dementia.

Segmentation and classifications of diabetic retinopathy

Join our collaborative study as we tackle diabetic retinopathy and macular edema. With diabetes as a leading cause of blindness worldwide, we aim to streamline screening and treatment through AI.

Simulation and surgery

Simulation training has emerged as a crucial tool in medical education, especially for intricate procedures.