Ophthalmology

Supervised Machine Learning Models for Ocular Sagittal Height Prediction Incorporating Corneoscleral Profile Data.

OBJECTIVE: This study aimed to develop supervised machine learning (ML) models to predict ocular sagittal height (OC-SAG), using anterior eye data derived from topography and tomography. METHOD: ology: A retrospective cohort of 100 eyes provided data such as keratometry, eccentricity, white-to-white distance, and corneoscleral junction (CSJ) metrics through anterior segment optical coherence tomog...

OCT biomarkers in patients with diabetic macular edema treated with dexamethasone implant.

Beyond conventional OCT-based morphological classifications of diabetic macular edema (DME), an expanding range of OCT-derived biomarkers has been identified that reflect distinct pathophysiological mechanisms and may carry diagnostic, prognostic, and therapeutic relevance. This review summarizes current evidence on potential OCT biomarkers in DME, with a particular focus on their role in patients...

Synthetic inducible bacteria normalize the microenvironment of refractory tumors, potentiating checkpoint inhibitor responses.

Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely due to the immunosuppressive tumor microenvironme...

The Influencing Factors of Medical Postgraduates' Usage Intention Toward Artificial Intelligence-Generated Content Tools in Academic Research: Qualitative Analysis.

BACKGROUND: The integration of artificial intelligence-generated content (AIGC) tools into academic research offers transformative potential for enhan...

Flatness error control technology based on random forests.

In a dual-beam super-resolution laser direct-writing lithography system, the flatness error of the motion stage during XY-plane scanning (small fluctu...

EED-Astig: A Multimodal Dataset for Pediatric Astigmatism Severity Prediction.

Astigmatism is a prevalent refractive error in preschool children and a leading cause of preventable early visual impairment. Conventional screening m...

Clinically Explainable Disease Diagnosis Based on Biomarker Activation Map.

OBJECTIVE: Artificial intelligence (AI)-based disease classifiers have achieved specialist-level performances in several diagnostic tasks. However, re...

Enhancing patient education in cataract surgery using a conversational artificial intelligence chatbot: pilot randomized controlled trial.

PURPOSE: To evaluate the effectiveness and usability of a safety-first, clinician-validated conversational artificial intelligence (AI) chatbot for ca...

Learn to Enhance Sparse Spike Streams.

High-speed vision tasks have long been a challenge in computer vision. Recently, the spike camera has shown great potential in these tasks due to its ...

IN-HUMAN FEASIBILITY AND SAFETY OF SUBRETINAL DRUG INJECTION THROUGH ATTACHED RETINA USING A ROBOTIC COMANIPULATION SYSTEM.

PURPOSE: To evaluate feasibility and safety of robot-assisted subretinal injections through attached retina using the comanipulated Mynutia system in ...

VL-HTR: Learning Human-Target Representation From Vision-Language Model.

Human-gaze-target prediction aims to predict the target point or object that humans are looking at in images. However, existing methods predominantly ...

A 25-Year Bibliometric and Scientometric Analysis of Facial Paralysis Rehabilitation: Knowledge Structure, Influential Works, and Emerging Research Frontiers (2000-2025).

BACKGROUND: Facial paralysis rehabilitation has progressed substantially over the past two decades, yet the scientific landscape of this field remains...

Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection.

The last decade has seen rapid advancements in machine learning, significantly transforming fields like cybersecurity and healthcare. Developmental sc...

Analysis of AI-Generated Radiography Responses Using a Closed-System LLM.

PURPOSE: To evaluate the accuracy and educational utility of Microsoft Copilot's (GPT-4, July 2025, closed-system version) responses to radiography qu...

Prediction of shock-refractory ventricular fibrillation in patients with out-of-hospital cardiac arrest: external validation of an ECG-based approach.

BACKGROUND: Shock-refractory ventricular fibrillation (VF) patients can be defined as those requiring at least three defibrillation attempts. Patients...

Integrated plasma proteomics and metabolomics reveal immunometabolic pathways and predictive signatures for age-related eye diseases.

BACKGROUND AND AIMS: Age-related eye diseases (AREDs) share aging as a major risk factor, but the systemic molecular changes preceding disease onset r...

A Hybrid System Integrating Deep Learning and Computer Vision for Automated Blink Monitoring and Tear Film Break-Up Pattern Classification.

PURPOSE: To construct and validate a hybrid system integrating deep learning and computer vision for real-time blink monitoring, tear film Break-Up Pa...

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 ...

Exploratory study on a novel automatic quantification software by artificial intelligence for geographic atrophy associated to age-related macular degeneration.

Large Language Model and Pediatric Neurosurgery - A Neurosurgeon's Perspective on the Artificial Nervous System.

Large language models (LLMs) are rapidly transforming healthcare, yet their implications for pediatric neurosurgery remain underexplored. This narrati...