Latest AI and machine learning research in laser surgery for healthcare professionals.
Microwave ablation (MWA) is a minimally invasive therapy for liver, lung, and kidney tumors. Computa...
A miniaturized analytical platform integrating dual-channel electrothermal vaporization-microplasma-...
Glaucoma is a leading cause of irreversible yet preventable blindness in working-age populations. Cl...
Deep learning effectively extracts retinal phenotypes but often functions as an entangled black box,...
PURPOSE: To evaluate the performance of a Transformer-based U-Net, TransDisCo, for distortion correc...
BACKGROUND: Melanoma outcomes differ across countries, income settings, and skin tones, reflecting n...
To address diagnostic delays in pediatric abdominal emergencies, this study aimed to develop and val...
BACKGROUND: Diabetic retinopathy (DR) is a leading cause of vision loss, yet conventional retinal sc...
Recent advances in ophthalmic AI have improved benchmark performance, yet clinical trust remains lim...
Age-related Macular Degeneration (AMD) is a leading cause of vision loss globally; necessitating ear...
BACKGROUND: Pulmonary vein isolation (PVI) has become the cornerstone of atrial fibrillation (AF) tr...
To preliminarily evaluate agreement between large language models (LLMs) and ophthalmic clinicians r...
Automated phenotyping in ophthalmology requires accurate standardization of clinical terms to facili...
As a high-end abrasive material, diamond is prone to defects such as cracks and ablation during lase...
Artificial intelligence (AI) tools are rapidly reshaping ophthalmology by improving screening and di...
PURPOSE OF REVIEW: Rapid advances in surgical visualization, microsurgical instrumentation, artifici...
This study employs Physics-Informed Neural Networks (PINNs) to simulate the thermal dynamics of biol...
BACKGROUND: Anterior segment diseases are a major global cause of preventable blindness, especially ...
INTRODUCTION: Artificial intelligence (AI) is reshaping diagnostic paradigms across oncology. In oph...
OBJECTIVE: This study aimed to develop and validate a predictive model incorporating early VRR slope...
AIMS: This study evaluated the use of ophthalmic foundation deep-learning models with cross-modal tr...