Clinical Decision Support Tool for the Identification of Pathological Structures Associated with Age-Related Macular Degeneration

Abstract

In the field of ophthalmology, different imaging modalities are commonly used to carry out different clinical diagnostic procedures. Currently, both optical coherence tomography (OCT) and optical coherence tomography angiography (OCT-A) have made great advances in the study of the posterior pole of the eye and are essential for the diagnosis and monitoring of the treatment of different ocular and systemic diseases. On the other hand, the development of clinical decision support systems is an emerging field, in which clinical and technological advances are allowing clinical specialists to diagnose various pathologies with greater precision, which translates into more appropriate treatment and, consequently, an improvement in the quality of life of patients. This paper presents a clinical decision support tool for the identification of different pathological structures associated with age-related macular degeneration using OCT and OCT-A images. The system provides a useful tool that facilitates clinical decision-making in the diagnosis and treatment of this relevant disease.