Ophthalmology

AI-guided surgical decision support system for corneal laceration repair: a prospective, non-randomized controlled feasibility study.

To evaluate the feasibility and application value of a transfer learning-based artificial intelligence (AI) system for wound recognition and suture position planning in patients with corneal lacerations. In this prospective, non-randomized controlled feasibility study, 25 consecutive patients were managed with either conventional suturing (n = 14) or AI-guided planning (n = 11) based on real-time ...

Cross-Cultural Differences in Public Discourse on COVID-19 Vaccination in the United States and South Korea: Cross-Sectional Analysis Using Natural Language Processing.

BACKGROUND: The COVID-19 vaccine was introduced as a crucial tool to combat the pandemic. However, concerns about its effectiveness, side effects, and misinformation spread remain. Prior research largely relied on survey-based approaches with limited populations. To address these limitations, social media offers a broader, more naturalistic lens into public discourse on COVID-19 vaccination. Accor...

Understanding flow experiences in online EFL learning: Perspectives from Vietnamese undergraduates.

The study investigates Vietnamese EFL undergraduates' Flow experiences within the online learning context. The research aims to identify the extent to...

A deep learning-based method for evaluating the fitting states of orthokeratology lenses using fluorescein staining videos.

PURPOSE: To develop and validate an automated deep learning-based tool for evaluating the fitting states of orthokeratology lenses using a dual-stream...

Intelligent interferometric analysis of lipid layer thickness for clinical evaluation of dry eye disease.

PURPOSE: Accurate and reproducible measurement of tear film lipid layer thickness (LLT) is essential for evaluating meibomian gland dysfunction (MGD) ...

Accuracy of intraocular lens power calculation formulas in cataract eyes after vitrectomy with silicone oil tamponade：a network meta-analysis.

OBJECTIVE: To systematically compare the accuracy of artificial intelligence and traditional intraocular lens (IOL) calculation formulas in cataract e...

Machine Learning-Based Classification and Dynamic Analysis of Tear Film Lipid Layer Using Smartphone-Based Interferometry: A Pilot Study.

OBJECTIVES: To develop and validate a machine learning (ML) model for classifying tear film lipid layer (TFLL) patterns from self-acquired smartphone-...

Vision-Controlled autonomous navigation in unstructured environments: Integrating image processing, path planning, and trajectory control in robotic systems.

Advancements in artificial intelligence (AI) have driven robotics to the forefront of technological innovation, enhancing productivity and safety acro...

MLGT: A multimodal graph attention network for virtual screening of anti-Uveitis drugs.

Uveitis is a severe ocular inflammatory disease with complex immune-mediated pathogenesis, posing significant challenges for drug discovery. While art...

CAR T-cells in hematologic malignancies: Advances, challenges, and future directions.

Chimeric antigen receptor (CAR) T-cell therapy has transformed the management of hematologic malignancies, achieving high remission rates in relapsed ...

Challenges and advances in drug resistance and tolerance in cancer.

Therapeutic resistance remains the principal barrier to durable clinical benefit in oncology, particularly in oncogene-driven malignancies and immune-...

Artificial Intelligence-Enhanced Remediation: Improving Process and Accreditation Compliance.

INTRODUCTION: Physician assistant programs must provide effective remediation to support struggling students within the constraints of limited faculty...

Cognitive reinforcement: capturing tacit knowledge and enhancing expertise with a biofeedback interface for visual attention.

Objective.Tacit or implicit knowledge refers to know-how that experts possess but often cannot articulate, codify, or explicitly transfer to others. T...

Application of smooth OWA operators to classification of retinitis pigmentosa.

Retinitis Pigmentosa (RP) is a rare genetic retinal disorder characterized by the progressive degeneration of rod and cone photoreceptors, leading to ...

A deep-learning-based early warning system for abnormal eye conditions in chickens.

In current poultry production practice, farmers are required to frequently enter their poultry houses and visually inspect their chickens to assess fl...

An ophthalmic video foundation model for surgical recognition and navigation with wet-lab porcine eye validation.

Foundation models in artificial intelligence are revolutionizing healthcare by utilizing large-scale unlabelled data for pretraining. However, their i...

Hybrid lightweight vision transformers with attention mechanism for feature extraction and classification of product designs.

In modern consumer markets, product packaging strongly influences customer attention and buying decisions. Attractive and informative designs help bra...

Inferring crowd crush accidents in typical high-density pedestrian movement zones via the vision-trajectory fusion neural network.

Pedestrian walking constitutes an indispensable mode of daily travel, yet recurrent high-density crowd gatherings in relevant facilities, e.g., holida...

Differentiating unipolar and bipolar depression using multi-task eye-movement features.

BACKGROUND: Differentiating bipolar depression (BPD) from unipolar depression (UPD) is clinically challenging due to symptom overlap. This study explo...

Evaluation of a Community-Based AI-Assisted Visual Impairment Screening Model for Performance, Operational Efficiency, Acceptability, Feasibility, and Costs: Protocol for a 2-Arm Pragmatic Randomized Controlled Trial.

BACKGROUND: Visual impairment (VI) affects more than 600 million people globally and significantly reduces quality of life. In Singapore, 20% of adult...