Ophthalmology

Temperature-Dependent Infrared Engineering for Extreme Environments: All-Dielectric Thermal Photonic Metamaterials Stable at 1873 K in Air.

The development of infrared engineering technologies for extreme environments remains a formidable challenge due to the inherent trade-offs among optical performance, thermal stability, and mechanical integrity in thermal photonic metamaterials (TPMs). This work introduces a novel multi-objective design framework and demonstrates the design, fabrication, and validation of a TPM operating under ext...

Ligand-based machine learning models to classify active compounds for prostaglandin EP2 receptor.

Prostaglandin receptors are pharmacologically validated targets with implications in several medical indications, including glaucoma, cardiac cyanotic disease, pulmonary hypertension, oncology, and various rare diseases. In this study, we developed a ligand-based machine learning (ML) model to classify chemical compounds as either active or inactive against the prostaglandin receptor EP2. From an ...

Annotation-free 3D reconstruction and quantification of retinal microvasculature by RADAR.

Three-dimensional mapping of retinal microvasculature is essential for monitoring systemic vascular health. Existing methods rely heavily on manual an...

Correction: Artificial intelligence-based analysis of retinal fluid volume dynamics in neovascular age-related macular degeneration and association with vision and atrophy.

Hemorrhage Segmentation in Fundus Images Using the U-Net 3+ Model: Performance Comparison Across Retinal Regions.

Diabetic retinopathy (DR) is one of the most common complications of diabetes, and timely detection of retinal hemorrhages is essential for preventing...

Exploring the integration of large language models in human-robot collaboration: Effects on performance, mental stress, and trust.

As large language models (LLMs) become increasingly integrated into robotic systems, understanding their influence on human-robot collaboration (HRC) ...

Evolution of Oculomics: From Naked Eye Observations to Artificial Intelligence over 100 Years.

PURPOSE: To provide a historical review tracing the evolution of oculomics, the study of ocular biomarkers of systemic disease, from early clinical ob...

Deep Learning Models: A Lens Worth Sharpening for Cancer Prognostication.

Integrated Ultrasound Device for Precision Bladder Volume Monitoring via Acoustic Focusing and Machine Learning.

Bladder volume monitoring is critical for managing lower urinary tract dysfunctions, yet existing methods remain invasive or operator-dependent and ar...

Higher-level spatial prediction in natural vision across mouse visual cortex.

Theories of predictive processing propose that sensory systems constantly predict incoming signals, based on spatial and temporal context. However, ev...

Selecting measures of visual function to classify diabetic retinopathy status: a cross-sectional study.

AIM: To identify combinations of up to three visual function tests with the best performance for classifying diabetic retinopathy (DR) severity stage....

Preoperative Neuroimaging Markers, Clinical Severity Measures, and Shunt Characteristics for Predicting Shunt Revision in Idiopathic Intracranial Hypertension: An Explainable Machine-Learning Study.

BACKGROUND AND PURPOSE: Surgical shunt placement is a common treatment for idiopathic intracranial hypertension (IIH) but is hampered by high revision...

Cha-PO and CVNet: a hybrid approach for automated cataract detection using adaptive feature selection and deep learning for high accuracy and efficiency.

Early detection of cataract is crucial for thwarting visual impairment worldwide, and the utilization of automated cataract detection through medical ...

AI-Assisted detection of corneal nerve structural abnormalities in early diabetic keratopathy: development and validation of a deep learning framework.

To develop a deep learning-based computer-aided diagnostic model for the automated identification of corneal microneuromas from in vivo confocal micro...

Predicting HFA 30-2 Visual Fields with Deep Learning from Multimodal OCT-Fundus Feature Fusion and Structure-Function Discordance Analysis.

Glaucoma is a leading cause of irreversible vision loss. During clinical follow-up, visual field (VF) tests (Humphrey Field Analyzer 30-2) assesses fu...

Recognition of Normal Fetal Echocardiograms Based on an Explainable Denoising Deep Learning Model.

PURPOSE: To evaluate the proposed explainable denoising deep learning model, Grouped Shared Convolutional Attention Vision Transformer (GSCAViT), for ...

Budget Impact of Faricimab in Neovascular Age-Related Macular Degeneration in the Netherlands: A Systematic Review and Meta-Analysis of Injection Count.

INTRODUCTION: Frequent anti-vascular endothelial growth factor (anti-VEGF) injections for the treatment of neovascular age-related macular degeneratio...

Artificial intelligence-based fluid quantification predicts clinical outcomes in diabetic macular oedema eyes treated with intravitreal dexamethasone implants: DIADEMA project.

AIM: To explore associations between artificial intelligence (AI)-based baseline optical coherence tomography (OCT) fluid compartment quantifications ...

Artificial intelligence based prediction of first recurrence in neovascular age related macular degeneration with validation by 19 experts.

This study aimed to investigate the value and difference in predictive performance between ophthalmologists and a previously developed and validated a...

Classifying retinal images via vascular-optic disc cross-segmentation and attentive feature selection.

The prevalence of retinal disorders is rising at an alarming rate, posing a significant risk of irreversible blindness without timely intervention. Re...