Ophthalmology

Glaucoma

Latest AI and machine learning research in glaucoma for healthcare professionals.

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Predictions of ocular changes caused by diabetes in glaucoma patients.

BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, ...

Underwater Inherent Optical Properties Estimation Using a Depth Aided Deep Neural Network.

Underwater inherent optical properties (IOPs) are the fundamental clues to many research fields such...

Artificial neural networks as alternative tool for minimizing error predictions in manufacturing ultradeformable nanoliposome formulations.

This work was aimed at determining the feasibility of artificial neural networks (ANN) by implementi...

Development of machine learning models for diagnosis of glaucoma.

The study aimed to develop machine learning models that have strong prediction power and interpretab...

A machine-learning graph-based approach for 3D segmentation of Bruch's membrane opening from glaucomatous SD-OCT volumes.

Bruch's membrane opening-minimum rim width (BMO-MRW) is a recently proposed structural parameter whi...

Evaluation of topical bevacizumab as an adjunct to mitomycin C augmented trabeculectomy.

PURPOSE: To investigate the safety and synergistic effect of topical bevacizumab after trabeculectom...

Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation.

We present a novel method to segment retinal images using ensemble learning based convolutional neur...

Machine Learning Techniques in Clinical Vision Sciences.

This review presents and discusses the contribution of machine learning techniques for diagnosis and...

Pigment Dispersion Syndrome Progression to Pigmentary Glaucoma in a Latin American Population.

OBJECTIVE: To determine the progression of pigment dispersion syndrome (PDS) into pigmentary glaucom...

Learning ECOC Code Matrix for Multiclass Classification with Application to Glaucoma Diagnosis.

Classification of different mechanisms of angle closure glaucoma (ACG) is important for medical diag...

A Hybrid Swarm Algorithm for optimizing glaucoma diagnosis.

Glaucoma is among the most common causes of permanent blindness in human. Because the initial sympto...

Transient but significant visual field defects after robot-assisted laparoscopic radical prostatectomy in deep tRendelenburg position.

BACKGROUND: Robot-assisted laparoscopic radical prostatectomy (RALP) is a minimally invasive surgica...

Enhancing Interpretability of Ocular Disease Diagnosis: A Zero-Shot Study of Multimodal Large Language Models.

Visual foundation models have advanced ocular disease diagnosis, yet providing interpretable explana...

Robust Uncertainty-Informed Glaucoma Classification Under Data Shift.

PURPOSE: Standard deep learning (DL) models often suffer significant performance degradation on out-...

Eye-Tracking Algorithm for Early Glaucoma Detection: Analysis of Saccadic Eye Movements in Primary Open-Angle Glaucoma.

Glaucoma remains a leading cause of irreversible blindness worldwide, with early detection crucial f...

A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis.

Glaucoma is a group of serious eye diseases that can cause incurable blindness. Despite the critical...

Accelerated Biological Aging in Exfoliation Glaucoma Assessed by Fundus-Derived Predicted Age and Advanced Glycation End Products.

Glaucoma is an age-related neurodegenerative disease characterized by progressive optic nerve damage...

Automated Early-Stage Glaucoma Detection Using a Robust Concatenated AI Model.

Glaucoma is a leading cause of irreversible blindness worldwide; therefore, detection of this diseas...

Ethics of Artificial Intelligence in Medicine and Ophthalmology.

BACKGROUND: This review explores the bioethical implementation of artificial intelligence (AI) in me...

Interpreting Deep Learning Studies in Glaucoma: Unresolved Challenges.

Deep learning algorithms as tools for automated image classification have recently experienced rapid...

Telemonitoring Tools for Glaucoma Patients: A Systematic Review of Current Trends and Applications.

: In 2010, approximately 60.5 million people were affected by glaucoma, making it the leading cause ...

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