Laser Surgery

Accuracy of Artificial Intelligence-Assisted CPT Coding in Dermatologic Surgery.

Agentic artificial intelligence in ophthalmology: Toward autonomous, adaptive, and ethical eye care.

Agentic artificial intelligence (AI) represents a new generation of intelligent systems capable of a...

Real-world performance of an AI system for diabetic retinopathy screening.

Diabetic retinopathy (DR) is a leading cause of preventable blindness, and the growing global burden...

AI-enhanced robotic hands: a breakthrough in early tumour detection and removal.

AI-enhanced robotic hands are rapidly reshaping tumour surgery by merging real-time sensing, precisi...

Experimental and ANN-based analysis of performance, combustion, and emission characteristics of a CI engine fueled with waste plastic oil-diethyl ether-diesel blends.

This study differs fundamentally from prior investigations on WPO-diesel and WPO-DEE blends by combi...

Ultrasound-guided microwave ablation for breast tumors: current status and future perspectives.

Ultrasound (US)-guided microwave ablation (MWA) has emerged as a promising minimally invasive therap...

Shaping the future of myopia: artificial intelligence for vitreoretinal complications of high and pathologic myopia.

PURPOSE: The global impact of myopia extends far beyond individual ocular health, posing significant...

Robust Distance Estimation with Out-of-distribution Detection in Ophthalmic Surgery.

OBJECTIVE: Micrometer-scale precision is vital for patient safety in ophthalmic surgery. Recent adva...

Reablation of atrial fibrillation targeting electrogram dispersion in patients with isolated veins: The RESTART trial.

BACKGROUND: Pulmonary vein (PV) isolation is a well-established treatment for atrial fibrillation (A...

A machine learning gap-filling approach for daily forest soil CO2 flux based on environmental factors and eddy covariance variables.

Accurate gap-filling of daily soil CO₂ flux is essential for understanding forest carbon cycling and...

Data-related Ablation for Reinforcing Deep Learning in Explaining Complex Phenomena.

Deep Learning (DL) models excel at automatically learning intricate patterns within complex data, bu...

Foundation models for ophthalmic imaging.

Foundation models represent a new frontier in ophthalmic artificial intelligence, enabling learning ...

Roof-dependent atrial tachycardia after pulsed field ablation-mechanistic insights and predictive modeling for optimized ablation strategies: an ultra-high-density mapping study.

BACKGROUND AND AIMS: Pulsed field ablation (PFA) has emerged to an innovative approach to achieve pu...

A hybrid CNN and reinforcement learning framework for speaker identification using Mel-Spectrogram and continuous wavelet transform features.

Speaker identification remains critical in biometric authentication systems, requiring robust featur...

6G conditioned spatiotemporal graph neural networks for real time traffic flow prediction.

Accurate, low-latency traffic forecasting is a cornerstone capability for next-generation Intelligen...

Evolving strategies may facilitate oral pathology and cancer surveillance, monitoring, and detection for patients at risk.

BACKGROUND: Oral cancers account for considerable morbidity and mortality worldwide, and their incid...

Therapeutic nanofibrous scaffolds in precision drug delivery: formulation design, challenges and regulatory frameworks.

INTRODUCTION: Drug-loaded nanofibrous systems represent a breakthrough in drug delivery, overcoming ...

[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods].

OBJECTIVES: To improve the accuracy of machine learning models for preoperative prediction of high-i...

Preoperative Neuroimaging Markers, Clinical Severity Measures, and Shunt Characteristics for Predicting Shunt Revision in Idiopathic Intracranial Hypertension: An Explainable Machine-Learning Study.

BACKGROUND AND PURPOSE: Surgical shunt placement is a common treatment for idiopathic intracranial h...

FetCAT: Cross-attention fusion of transformer-CNN architecture for fetal brain plane classification with explainability using motion-degraded MRI.

Fetal brain magnetic resonance imaging (MRI) has been recognized as a vital diagnostic tool for iden...

Resolution of generalized tonic seizures following focal ablative or resective surgery.

OBJECTIVE: Focal brain lesions may underlie generalized tonic seizures, as seen in Lennox-Gastaut sy...