Latest AI and machine learning research in glaucoma for healthcare professionals.
BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, ...
Underwater inherent optical properties (IOPs) are the fundamental clues to many research fields such...
This work was aimed at determining the feasibility of artificial neural networks (ANN) by implementi...
The study aimed to develop machine learning models that have strong prediction power and interpretab...
Bruch's membrane opening-minimum rim width (BMO-MRW) is a recently proposed structural parameter whi...
PURPOSE: To investigate the safety and synergistic effect of topical bevacizumab after trabeculectom...
We present a novel method to segment retinal images using ensemble learning based convolutional neur...
This review presents and discusses the contribution of machine learning techniques for diagnosis and...
OBJECTIVE: To determine the progression of pigment dispersion syndrome (PDS) into pigmentary glaucom...
Classification of different mechanisms of angle closure glaucoma (ACG) is important for medical diag...
Glaucoma is among the most common causes of permanent blindness in human. Because the initial sympto...
BACKGROUND: Robot-assisted laparoscopic radical prostatectomy (RALP) is a minimally invasive surgica...
Background/Aims: Neovascular glaucoma (NVG) is an aggressive secondary glaucoma with limited longitu...
Purpose To investigate the relative efficacy of nine distinct visual field (VF) denoising artificial...
Purpose: To develop and evaluate a deep learning model that predicts optical coherence tomography (O...
Purpose: To predict retinal nerve fiber layer thickness (RNFLT) norms from fundus images. Methods: W...
Purpose: Psychological distress is highly prevalent in glaucoma and is associated with worse adheren...
Background Patients worldwide receive healthcare in many languages, yet medical AI systems are valid...
Objective: To describe the ophthalmic examination protocol within the German National Cohort (NAKO) ...
Effectively stratifying patient risk in chronic diseases like glaucoma is a major clinical challenge...
We evaluated whether a glaucoma risk assessment (GRA) model trained on All of Us national data can i...