Ophthalmology

Automated Optic Disc Tilt Classification in Fundus Photographs Using Segmentation and the Elliptical Ratio: External Clinical Validation Study.

BACKGROUND: Optic disc tilt is a morphological change in myopic eyes that complicates clinical interpretation and artificial intelligence (AI)-based analysis of fundus images. Accurate detection of optic disc tilt is necessary to avoid misinterpretation of disc morphology and enhance diagnostic reliability across different disease types. OBJECTIVE: This study developed and externally validated an ...

Dual branch fundus deep learning network as an enhanced multi classification system for ocular disease detection via hybrid feature fusion.

Ophthalmic diagnosis relies heavily on the interpretation of fundus images to identify a range of debilitating diseases. However, the presence of multiple, co-existing pathologies and the subtle visual cues associated with early-stage disease pose a significant challenge, necessitating the development of advanced diagnostic tools. We present DFD-Net (Dual-Branch Fundus Deep Learning Network), a de...

A deep learning-based framework for fundus image classification of inherited retinal degeneration in dogs.

Inherited retinal degenerations (IRDs) are a frequent cause of vision impairment in numerous breeds of dogs. Veterinary ophthalmologists frequently su...

A-eye: Automated 3D MRI segmentation and morphometric feature extraction for eye and orbit atlas construction.

In this study we introduce automated 3D segmentation of the healthy human adult eye and orbit from Magnetic Resonance Images, to improve ophthalmic di...

Impact of Subretinal Drusenoid Deposits on Ellipsoid Zone-Related Thickness Metrics.

PURPOSE: Ellipsoid zone (EZ) attenuation is a widely used endpoint in retinal disease trials and is quantified as the distance between the EZ and reti...

Polariton manipulation via boundary engineering.

The pursuit of nanoscale light manipulation represents a fundamental challenge in nanophotonics, where overcoming the diffraction limit is essential f...

The Evolving Landscape of Terahertz Biosensing: From Sensitivity to Precision.

Terahertz (THz) spectroscopy has recently gained significant attention as a powerful tool for biomacromolecule detection due to its exceptional sensit...

Technical architecture for integrating vision-language models with DICOM viewers.

Integrating vision-language models (VLMs) into clinical radiology workflows requires exporting two-dimensional images that preserve diagnostic viewing...

AI in clinical diagnostics in dermatology: applications, validation, and real-world use cases.

Artificial intelligence (AI) has moved from proof-of-concept studies in dermatology to selective, real-world clinical use, particularly in image-based...

A Natural Language Guided Approach for Blind Face Restoration: Methodology and Dataset.

Blind Face Restoration (BFR) aims to reconstruct high-quality face images from low-quality inputs without any prior knowledge of degradation types or ...

A Survey on Interpretability in Visual Recognition.

Visual recognition models have achieved unprecedented success in various tasks. While researchers aim to understand the underlying mechanisms of these...

Refractance Window Drying: Mechanisms, Quality, and Smart Control.

Refractance window drying (RWD) has emerged as a high-efficiency, low-temperature dehydration technology. It enables the production of superior-qualit...

Toddlers' Active Gaze Behavior Supports Self-Supervised Object Learning.

Toddlers learn to recognize objects from different viewpoints with almost no supervision. During this learning, they execute frequent eye and head mov...

Personalized eye protection for head CT organ-based tube current modulation: A deep learning approach to derive 3D eyeball models from a single-view topogram.

BACKGROUND: The lens of the eye is highly radiosensitive, yet personalized shielding during head CT remains challenging due to the lack of a rapid, pr...

Computer Vision for Monitoring Wild Bees and Wasps: A Structured Literature Review.

Wild bees and wasps are vital to ecosystems, yet large-scale monitoring of individual insects as well as their habitats and behaviors requires expert ...

Retinal Vascular Features and Risk of Colorectal Cancer Incidence and Mortality: A Population-Based Cohort Study.

INTRODUCTION: Colorectal cancer (CRC) screening remains limited by invasiveness and suboptimal sensitivity of current methods. Retinal microvasculatur...

Unravelling emergency department triage in everyday practice: An ethnographic study of underlying mechanisms across three Danish emergency departments.

BACKGROUND: Emergency department triage is commonly conceptualised as a standardised classification of patient urgency based on vital signs and presen...

Automated diabetic retinopathy grading and screening using deep learning.

PURPOSE: To develop and benchmark a unified Deep Learning (DL) pipeline for automated detection and five-level grading of Diabetic Retinopathy (DR), a...

Multimatrix QuantAI-LFIA: An On-Device Deep-Learning Biosensing Platform with Charge-Transfer-Active Labels for Intelligent Quantitative Analysis.

Commercial gold nanoparticle-based lateral flow immunoassays (LFIAs) are widely used for point-of-care (POCT) diagnostics; however, inefficient signal...

The creation and verification of a detection model for mild cognitive impairment by employing eye-tracking and gait metrics.

BackgroundMild cognitive impairment is a prodromal stage of dementia, and early identification is crucial for prognosis.ObjectiveThis study aims to cr...