Laser Surgery

PVCuRe: a machine-learning based tool to predict left ventricular systolic function recovery in patients undergoing ablation for premature ventricular contraction.

BACKGROUND: Ablation of frequent premature ventricular complexes (PVCs) can improve left ventricular ejection fraction (LVEF) in patients with systolic dysfunction, especially in suspected PVC-induced cardiomyopathy. However, many patients fail to normalize LVEF despite successful ablation, and current tools do not reliably distinguish true PVC-induced cardiomyopathy from underlying cardiomyopathy...

The Role of Artificial Intelligence in Teaching Ophthalmology Skills: A Systematic Review.

BACKGROUND: Ophthalmology training requires visual interpretation, procedural skill, and supervised clinical reasoning, but trainee volume, faculty availability, and case mix constrain education. AI-enabled tools may support scalable instruction, assessment, and feedback. OBJECTIVE: To evaluate AI-enabled interventions for improving ophthalmology diagnostic, clinical reasoning, and surgical skills...

Prediction of retinopathy of prematurity using machine learning models.

BACKGROUND: Early identification of neonates at risk of retinopathy of prematurity (ROP) is essential to prevent vision loss. The goal of this study w...

Artificial intelligence-guided engineering of precision ocular therapeutics.

PURPOSE OF REVIEW: This review surveys recent advances in artificial intelligence-guided small molecule discovery and gene therapy, with a focus on ge...

Harmonizing complexity and efficiency: Helix Fusion HarmonyNet's breakthrough in EEG-based postoperative delirium recognition.

Postoperative delirium (POD) is a common perioperative complication involving central nervous system dysfunction, particularly among critically ill an...

Improving Generalization of Deep Learning for Glaucoma Classification Under Real-World Domain Shift via Unsupervised Domain Adaptation.

PURPOSE: To develop and evaluate an unsupervised domain adaptation (UDA) framework for glaucoma classification from fundus images that improves the ge...

Predicting Histotripsy Focal Shifts in the Liver From Acoustic Aberrations Using a Deep Learning Model.

OBJECTIVE: To develop a deep learning model for predicting histotripsy focal shifts in the liver caused by acoustic aberrations for real-time treatmen...

Wearable technologies in ophthalmic care and visual science.

CLINICAL RELEVANCE: Wearable technologies may enable eyecare practitioners to assess visual function, behaviour, environmental exposure, and treatment...

A Review of the Use of Artificial Intelligence in Ophthalmology Imaging: Approximation to Ocular Histopathology.

Ophthalmic imaging has advanced to a level at which it can closely approximate key histopathological features of certain ocular tissues, changing the ...

Benchmarking Vision Encoders for Image Classification in Ophthalmology.

Foundation vision encoders are rapidly emerging as the standard for retinal artificial intelligence. Yet, ophthalmology still lacks a comprehensive be...

Smartphone-Based Fundus Imaging in Global Eye Care: Closing the Gap.

Smartphone-based fundus imaging (SBFI) is an emerging approach with potential relevance for global ophthalmic care, including in low- and middle-incom...

CARE: Multimodal Alignment Learning for Ophthalmic Imaging via Joint Optimal-Transport Soft Matching and Graph Neural ODE Refinement.

Medical artificial intelligence (AI) has shown great potential for the early screening and accurate diagnosis of fundus diseases. However, diagnostic ...

When multimodal fusion helps: An ablation study of EEG-ECG fusion strategies for emotion recognition.

Multimodal physiological signal fusion-particularly electroencephalography (EEG) and electrocardiography (ECG)-is widely assumed to improve emotion re...

Community-based paediatric eye care in low- and middle-income countries: bridging the gap between policy and practice.

Childhood visual impairment and blindness remain major public health concerns in low- and middle-income countries (LMICs), despite a substantial propo...

MRI radiomics combined with clinical features for predicting initial dose in focused ultrasound ablation surgery for uterine fibroids.

OBJECTIVE: To develop and validate a radiomics-clinical model for individualized prediction of the initial treatment dose in focused ultrasound ablati...

AI-ICE Guided Pulsed Field Ablation of Atrial Fibrillation with Variable Loop Circular Catheter.

BACKGROUND: Intracardiac echocardiography (ICE) facilitates left atrial (LA) reconstruction during atrial fibrillation (AF) ablation. The artificial i...

Machine Learning-Based Prediction of Cycloplegic Refraction Using the Eyerobo Vision Screener: Design-A Cross-Sectional Comparative Device Study.

INTRODUCTION: A cross-sectional comparative device study to compare the Eyerobo Vision Screener (VS), a portable handheld photorefractor, against a co...

Survival Prediction for Clear Cell Renal Cell Carcinoma Based on Deep Multimodal Synergistic Survival Network.

OBJECTIVE: To propose a deep multimodal synergistic survival analysis framework (Deep Multimodal Synergistic Survival Network, DMSSN) to achieve accur...

A decade of artificial intelligence research in ophthalmology: Global trends and transferable insights for medical AI.

To characterize global trends in ophthalmic AI research from 2015-2025 and drive transferable insights into the broader evolution of AI in medicine, w...

Deep Learning-Based Automated Segmentation of the Suprascapular Nerve and Adjacent Structures in Dynamic Supraclavicular Ultrasound.

OBJECTIVE: The suprascapular nerve (SSN) provides major motor and sensory innervation to the shoulder. Its accurate identification on ultrasound is ch...