Laser Surgery

The future of PFA in cardiac ablation procedures.

Pulsed field ablation (PFA) has rapidly emerged as a major development in catheter ablation, with in...

Visual alert integration with a time out monitor improves utilisation of an AI safety authentication system in ophthalmic surgery: a 1-year before-after study.

Hair Segmentation and Skin Characterization on Macroscopic Dermatological Images for Laser Treatment Parameterization.

Current light-based devices, such as laser hair removal, intense pulsed light (IPL), vascular laser ...

Artificial intelligence in ophthalmic optical coherence tomography angiography: a bibliometric analysis.

AIM: To analyze research landscapes, hotspots, and trends in artificial intelligence (AI) applied to...

Advancing nanomaterials for treatment of eye diseases: a review.

Ocular diseases involving both the anterior and posterior segments-such as dry eye disease, keratiti...

Development and Validation of a Multimodal Artificial Neural Network Model for the Diagnosis of Bladder Outlet Obstruction and Detrusor Underactivity in Men with Lower Urinary Tract Symptoms: Protocol for a Diagnostic Study.

BACKGROUND: Bladder outlet obstruction (BOO) and detrusor underactivity (DU) can produce overlapping...

Machine-learning versus traditional scoring methods for prediction of atrial fibrillation recurrence after catheter ablation: A systematic review and meta-analysis.

BACKGROUND: Atrial fibrillation (AF) recurrence after catheter ablation remains common, with recurre...

The Colorimetric Scale for Skin of Color (CSSC) can Provide a Standardized Classification System for Patients with Diverse Skin Tones.

The colorimetric scale for skin of color (CSSC) is an inexpensive, easy to use, rapidly performed as...

PolyFKAN: Integrating Fourier-KAN layers into graph neural networks for polymer property prediction.

Graph neural networks have become a central tool for polymer property prediction, but their fixed ac...

Machine learning-assisted monitoring of radiofrequency ablation in hepatic tumors using spectral traces.

PURPOSE: Accurate intraoperative assessment of radiofrequency ablation (RFA) margins in hepatic mali...

EyeGraph: A Multi-granularity Medical Vision-Language Foundation Model with Knowledge Graph Reasoning for Ophthalmic Interpretation.

The exponential growth of large vision-language models (VLMs) has created significant opportunities ...

Grounded ophthalmic AI beyond the electronic health record trap: a critical narrative review.

Explainability and Clinical Trust of Deep Learning in Glioblastoma Treatment Efficacy Prediction: A Comprehensive Framework.

Glioblastoma (GBM) treatment response is highly heterogeneous. Predicting outcomes from pre-treatmen...

Increased Pupil Constriction Latency in Immunoglobulin G4-related Ophthalmic Disease.

PURPOSE: To examine the pupillary light reflex (PLR) in Immunoglobulin G4-related ophthalmic disease...

Barriers to artificial intelligence applications in ophthalmology: beyond diagnostic accuracy toward patient outcomes, workflow integration, ethics, and trust.

Artificial intelligence (AI) has become a major area of ophthalmic innovation, with a rapidly expand...

[Clinical applications and future perspectives of ultra-widefield swept-source optical coherence tomography angiography in ophthalmology].

Optical coherence tomography angiography (OCTA) is a noninvasive, depth-resolved imaging modality th...

PLEKHA5-targeted photothermal-gene combination therapy via mPDA@DMEA@siRNA nanoparticles suppresses melanoma progression.

Melanoma is an aggressive skin malignancy characterized by high metastatic potential and resistance ...

Serial Artificial Intelligence ECG-Derived Atrial Fibrillation Probability and Recurrence Risk After Pulsed Field Ablation.

BACKGROUND: Pulsed field ablation is now widely used for atrial fibrillation (AF) ablation, but atri...

A dual-channel deep learning framework integrating preoperative and intraoperative multi-phase data for predicting post-ablation recurrence in atrial fibrillation.

Predicting atrial fibrillation (AF) recurrence after catheter ablation is essential for optimizing p...

Diagnostic Performance of Deep Learning Models for Ocular Toxoplasmosis Using Fundus Photography: A Systematic Review and Meta-Analysis.

BACKGROUND: Ocular toxoplasmosis (OT) is the leading infectious cause of posterior uveitis worldwide...

Comparison of Two AI Chatbots for Diagnosis and Providing Treatment Suggestions in Retinopathy of Prematurity: Retrospective Study.

BACKGROUND: Retinopathy of Prematurity (ROP) is a leading cause of preventable childhood blindness; ...