Aim: To design an automated glaucoma detection system for early detection of glaucoma
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …

Background and objectives Optical coherence tomography (OCT) has ushered in a
transformative era in the domain of ophthalmology, offering non-invasive imaging with high …

Purpose The aim of this study was to introduce an optimized version of the Corvis
Biomechanical Index for Chinese populations (cCBI). Design Retrospective, multicenter …

The application of artificial intelligence (AI) in ophthalmology has been increasingly
explored in the past decade. Numerous studies have shown promising results supporting …

Diabetes affects the structure of the blood vessel walls. Since the blood vessel walls are
made of birefringent organized tissue, any change or damage to this organization can be …

Background: Recent advancements in deep learning have significantly impacted
ophthalmology, especially in glaucoma, a leading cause of irreversible blindness worldwide …

Blood vessel walls are made of organized fibrous tissue with intrinsic birefringence. Even in
its very early stages, hypertension can change the structure of a blood vessel wall. In this …

AIM To quantify the performance of artificial intelligence (AI) in detecting glaucoma with
spectral-domain optical coherence tomography (SD-OCT) images. METHODS Electronic …

Purpose: To use artificial intelligence (AI) technology to accurately predict vault and
Implantable Collamer Lens (ICL) size. Methods: The methodology focused on enhancing …

The diagnosis of glaucoma plays a critical role in the management and treatment of this
vision-threatening disease. Glaucoma is a group of eye diseases that cause blindness by …