Ophthalmology

The expanding horizon: Role of widefield imaging in uveitis.

Conventional retinal imaging has historically been limited to the posterior pole, capturing only 30-50° field-of-view. The advent of widefield (WF) and ultra-widefield (UWF) imaging (WFI) technology has transformed this landscape, enabling visualization of up to 200° of retina in a single capture. This expanded field-of-view has revealed changes to help document peripheral retinal pathology like v...

Artificial intelligence in diabetic macular edema: Expanding clinical vision.

Using artificial intelligence-assisted retinal imaging devices operated by non-specialist workers in detecting diabetic retinopathy in Sri Lanka.

BACKGROUND: Diabetic retinopathy (DR), a microvascular complication of diabetes, is an important cause of preventable blindness and can cause a signif...

Rerouting Eye Care: How AI and Telemedicine Are Reshaping Ophthalmology Patient Journeys in the United Kingdom and Germany.

Artificial intelligence (AI) as a medical device is now progressively entering routine ophthalmic care, yet its impact is still mostly evaluated in te...

Optimization of attention mechanisms in choral conducting education using EEG and eye movement tracking with transfer learning algorithms.

This study presents a comprehensive investigation into attention mechanism optimization in choral conducting education through the integration of elec...

Retinal graph neural network for segmentation of retinal vasculature and foveal avascular zone from OCTA images.

OBJECTIVES: Diabetic Retinopathy (DR) causes major vision loss, requiring precise segmentation of retinal vessels and the Foveal Avascular Zone (FAZ)....

Clinical and EEG features integrated by a deep learning method to investigate treatment outcomes in epilepsy with eyelid myoclonia.

OBJECTIVE: To explore the correlation between clinical and electroencephalogram (EEG) factors and therapeutic outcome in epilepsy with eyelid myocloni...

Image-Quality-Aware Multimodal Artificial Intelligence for Automated Structured OCT Report Generation in Glaucoma Evaluation.

OBJECTIVE: To develop an explainable multimodal large language model (MM-LLM) that (1) screens optic nerve head (ONH) OCT circle scans for quality and...

Non-invasive somatotopic proprioceptive feedback for closed-loop robotic hand aperture control.

Objective.Current robotic prostheses developed for individuals with transradial amputation often lack physiological feedback, particularly propriocept...

AI-based fundus screening of teachers: fundus tessellated density as a myopia biomarker and occupational associations.

BACKGROUND: Artificial intelligence (AI)-based fundus imaging enables efficient large-scale retinal screening; however, its application in occupationa...

When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion.

Research on artificial intelligence (AI) and mental health has focused largely on harms at deployment, including chatbot safety, sycophancy, and AI-as...

OCT-based optic neuropathy diagnosis using explainable and privacy-preserving machine learning.

Glaucoma shares similarities with neurodegenerative conditions like dementia, Parkinson's disease, and ischaemic optic neuropathy, which affect ocular...

Development and evaluation of AI model with deep learning for segmentation of extraocular muscles in thyroid eye disease.

PURPOSE: To develop and evaluate an AI model for the segmentation of extraocular muscles (EOMs) using Magnetic Resonance Imaging (MRI). DESIGN: Single...

The evolving role of artificial intelligence in ophthalmology: basic science, translation, and clinical integration.

PURPOSE OF REVIEW: Ophthalmology has emerged as the proving ground for medical artificial intelligence (AI) because of its imaging-centric workflows, ...

The eye sees what the mind knows: Eye tracking and artificial intelligence to assess surgical resident level of expertise.

BACKGROUND: Surgical education continues to strive to move beyond traditional time-based competency metrics. As gaze behaviors can reflect underlying ...

Fusing Structural Phenotypes with Functional Data for Early Prediction of Primary Angle-Closure Glaucoma Progression.

PURPOSE: To classify eyes as slow or fast glaucoma progressors in patients with primary angle-closure glaucoma (PACG) using an integrated approach com...

Deep Learning and Radiomics Assessment for Highly Myopic Glaucoma Detection Based on Fundus Photography.

PURPOSE: To investigate spatially distinctive features in fundus photographs of highly myopic glaucoma (HMG) by integrating radiomics and deep learnin...

Beyond Terminator Narratives: Implantable Cardioverter-Defibrillators as a Lens for Clinical Agentic Artificial Intelligence.

Neuromodulation techniques for managing overactive bladder.

Overactive bladder (OAB) represents a significant burden and has a considerable impact on the quality of life (QoL) of affected patients. The treatmen...

From eye to AI: studying rodent social behavior in the era of machine learning.

The study of rodent social behavior has shifted in recent years from relying on direct human observation to more nuanced approaches that integrate com...