Laser Surgery

The aging eye: navigating molecular mechanisms and innovative interventions.

The global demographic shift toward aging has precipitated a surge in age-related ocular pathologies...

Artificial Intelligence in Urologic Documentation: A Review of Emerging Capabilities and the Ongoing Need for Human Oversight.

PURPOSE OF REVIEW: Clinical documentation continues to expand in volume and complexity, spanning out...

The role of autophagy in ocular health: mechanisms, pathologies, and therapeutic strategies.

Autophagy is a self-digestive process in which cellular components are degraded and recycled to main...

A dynamic light image enhancement algorithm using generative adversarial network for group activity recognition.

Video-based or image-based human activity recognition (HAR) via machine learning algorithms helps tr...

Hybrid learning/numerical framework for fast and robust electric field simulation in irreversible electroporation.

OBJECTIVE: Irreversible electroporation (IRE) represents a promising non-thermal ablation modality f...

RetinalFRNet: retinal vessel segmentation in OCTA images using the feature reconstruction network.

OBJECTIVES: Automated segmentation of retinal blood vessels in optical coherence tomography angiogra...

AgroDualNet: a dual deep learning-based crop disease forecasting and fruit ripening detection.

Proper diagnosis of crop diseases and accurate measurement of fruit ripeness is essential in enhanci...

Circulating miR-10b-5p as a Candidate Biomarker of Atrial Fibrillation Recurrence After Catheter Ablation: A Two-Phase Translational Study.

BACKGROUND: The identification of reliable biomarkers for atrial fibrillation (AF) recurrence post-c...

Protocol to benchmark and evaluate the status of imbalance measure using correlation, data complexity, and ablation analyses.

Machine learning struggles with imbalanced data. Although several mitigation approaches exist, their...

nnLoGoNet: a hybrid local-global network for retinal vessel segmentation with Skeleton Recall Loss.

Retinal vessel segmentation is a fundamental task in ophthalmic image analysis, playing a critical r...

Scalable fabrication of gas sensors via spark-ablation printing of semiconductive metal oxide nanoparticles and heterostructures.

Semiconductive metal oxide (SMO) gas sensors are extensively used in air monitoring, industrial safe...

Therapeutic ultrasound in ophthalmology: a comprehensive review.

BACKGROUND: Therapeutic ultrasound has emerged as a promising noninvasive or minimally invasive moda...

[Practice and reflection on sentinel lymph node navigation surgery for early gastric cancer].

With the continuous update and iteration of minimally invasive techniques, artificial intelligence a...

Automatic segmentation of target volume of breast radiotherapy on CT using MSR-UNet: A multicenter study.

PURPOSE: We developed MSR-UNet(Mamba-based Skip Refinement U-Net) to accurately segment the clinical...

A Method for the Detection of Tire Wear Microplastics in Zebrafish Guts by Laterally Resolved LA-ICP-MS-Based Elemental Fingerprinting and Chemometrics.

Tire wear particles (TWPs) are generated by mechanical abrasion of tires on road surfaces and repres...

Applications of Machine Learning, Natural Language Processing, and Generative Artificial Intelligence in Dermatology Education and Research: A Scoping Review.

Artificial intelligence (AI) is being increasingly used in dermatology education and research as dig...

When Seeing Is No Longer Believing: Ethical Accountability in the Era of AI-Generated Dermatologic Content.

Clinicopathological and Imaging Distinction Between Ocular Adnexal MALT Lymphoma and IgG4-Related Ophthalmic Disease.

PURPOSE: To characterize clinicopathologic and imaging differences between ocular adnexal mucosa-ass...

Wheelchair movement signal classification from EEG for motor-impaired individuals using novel deep learning architecture.

Purpose: Traditional wheelchair controls often limit independence and pose safety risks for motor-im...

Association of widespread pain and peak alpha frequency cannot be isolated to a single network.

INTRODUCTION: Peak alpha frequency (PAF), an electroencephalography measure, has gained interest due...

Hybrid LSTM-XGBoost framework with city embeddings for CO2 emissions forecasting and scenario comparison.

Developments of cities are always accompanied by environmental sacrifice, especially increasing CO2 ...