Advancements in Retinal Imaging for Early Glaucoma Detection

Abstract

The largest cause of permanent blindness in the world is glaucoma, highlighting the significance of early detection and care. Conventional diagnostic techniques, such tonometry and visual field examinations, frequently fail to detect the disease in its early stages. The most recent advancements in retinal imaging technology are examined in this review paper along with their diagnostic efficacy and prospective application in the early identification of glaucoma. The use of Adaptive Optics, Scanning Laser Ophthalmoscopy (SLO), Fundus Photography, Optical Coherence Tomography (OCT), and Artificial Intelligence (AI) are five significant areas of innovation in retinal imaging that are discussed. With their distinctive perspectives on structural and functional changes in the eye, these technologies offer important new information about the pathophysiology of glaucoma. This research intends to contribute to the ongoing efforts to improve early diagnosis and management of this sight-threatening condition by evaluating the state of retinal imaging for glaucoma detection at present and its potential impact on patient care.