Laser Surgery

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 maintain homeostasis and cope with stress. When cells are in a state of stress, autophagy will degrade proteins, lipids and damaged organelles, and convert them into key nutrients and building cornerstones needed to maintain cell homeosis. More and more evidence shows that there is a link between autoph...

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 track, detect, and categorize users' daily activities. It is usually formulated as specific research problems, such as fall detection, gait recognition, posture recognition, and gesture recognition. In practice, HAR is extended to a more generic group activity recognition (GAR) problem, focusing on mu...

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 for the treatment of deep-seated tumors. However, i...

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

OBJECTIVES: Automated segmentation of retinal blood vessels in optical coherence tomography angiography (OCTA) images is essential for early diagnosis...

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 enhancing agricultural productivity, but conventional met...

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-catheter ablation remains a clinical challenge. Thi...

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 application depends on the extent of imbalance. T...

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 role in disease screening and clinical diagnosis. H...

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 safety, and hazardous-gas detection due to their high ...

Therapeutic ultrasound in ophthalmology: a comprehensive review.

BACKGROUND: Therapeutic ultrasound has emerged as a promising noninvasive or minimally invasive modality in ophthalmology, offering novel solutions ac...

[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 and big data, the surgical treatment of early gastr...

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 target volume (CTV) and tumor bed (TB) for breast...

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 represent a significant source of microplastic pollution...

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 digital health data expands and large language models...

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-associated lymphoid tissue lymphoma (OAML) and IgG4-r...

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-impaired users. To address these challenges, this st...

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 to its association to pain-related neural process...

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 emission is one of the significant drivers of clim...

Patient-specific instantaneous spatial temperature maps for MR-guided laser interstitial thermal therapy using a physics-assisted deep learning framework.

PURPOSE: Accurate prediction of the laser energy absorption and corresponding thermal spread is essential for safe and effective outcomes in magnetic ...