Ophthalmology

Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique.

Cardio Vascular Disease (CVD) is one of the leading causes of mortality and it is estimated that 1 i...

Advancements and Prospects in Nanorobotic Applications for Ophthalmic Therapy.

This study provides a bibliometric and bibliographic review of emerging applications of micro- and n...

Enhanced AMD detection in OCT images using GLCM texture features with Machine Learning and CNN methods.

Global blindness is substantially influenced by age-related macular degeneration (AMD). It significa...

Glaucoma detection and staging from visual field images using machine learning techniques.

PURPOSE: In this study, we investigated the performance of deep learning (DL) models to differentiat...

Method for assessing visual saliency in children with cerebral/cortical visual impairment using generative artificial intelligence.

Cerebral/cortical visual impairment (CVI) is a leading cause of pediatric visual impairment in the U...

A Paradigm of Computer Vision and Deep Learning Empowers the Strain Screening and Bioprocess Detection.

High-performance strain and corresponding fermentation process are essential for achieving efficient...

ResViT FusionNet Model: An explainable AI-driven approach for automated grading of diabetic retinopathy in retinal images.

BACKGROUND AND OBJECTIVE: Diabetic Retinopathy (DR) is a serious diabetes complication that can caus...

Severity grading of hypertensive retinopathy using hybrid deep learning architecture.

BACKGROUND AND OBJECTIVES: Hypertensive Retinopathy (HR) is a retinal manifestation resulting from p...

UnICLAM: Contrastive representation learning with adversarial masking for unified and interpretable Medical Vision Question Answering.

Medical Visual Question Answering aims to assist doctors in decision-making when answering clinical ...

Treatment of neovascular age-related macular degeneration: one year real-life results with intravitreal Brolucizumab.

BACKGROUND: Age-related macular degeneration (AMD) is a prevalent cause of irreversible vision loss ...

AI and digital technology paradigm for seniors: a Singapore lens to healthy longevity.

VcaNet: Vision Transformer with fusion channel and spatial attention module for 3D brain tumor segmentation.

Accurate segmentation of brain tumors from MRI scans is a critical task in medical image analysis, y...

Deep learning-based assessment of missense variants in the gene presented with bilateral congenital cataract.

OBJECTIVE: We compared the protein structure and pathogenicity of clinically relevant variants of th...

Validation of a Visual Field Prediction Tool for Glaucoma: A Multicenter Study Involving Patients With Glaucoma in the United Kingdom.

PURPOSE: A previously developed machine-learning approach with Kalman filtering technology accuratel...

An integrative approach to generating explainable safety assessment scenarios for autonomous vehicles based on Vision Transformer and SHAP.

Automated Vehicles (AVs) are on the cusp of commercialization, prompting global governments to organ...

Enhanced Macular Telangiectasia Type 2 Detection: Leveraging Self-Supervised Learning and Ensemble Models.

OBJECTIVE: To investigate an ensemble-based approach utilizing deep learning models for accurate and...

Editorial: Updates in ocular therapeutics and surgery, volume III.

Diversity and dermatology through the lens of generative artificial intelligence portrayals: a demographic analysis of race and gender representation.

Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches.

AIMS: Thyroid eye disease (TED) is an autoimmune orbital disorder that diminishes the quality of lif...

The importance of clinical experience in AI-assisted corneal diagnosis: verification using intentional AI misleading.

We developed an AI system capable of automatically classifying anterior eye images as either normal ...

Comparison of an AI-based mobile pupillometry system and NPi-200 for pupillary light reflex and correlation with glaucoma-related markers.

INTRODUCTION: Glaucoma is a leading cause of blindness, often progressing asymptomatically until sig...