Ophthalmology

Diabetes and Cataracts Development-Characteristics, Subtypes and Predictive Modeling Using Machine Learning in Romanian Patients: A Cross-Sectional Study.

Diabetes has become a global epidemic, contributing to significant health challenges due to its com...

Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning.

We used machine learning to investigate the residual visual field (VF) deficits and macula retinal g...

Analyzing the Effect of Surgical and Corneal Parameters on the Postoperative Refractive Outcomes of Smile in Myopic Eyes Based on Machine Learning.

PURPOSE: To analyze the influence of individual parameters on the postoperative refractive outcomes ...

Evaluating the Influence of Clinical Data on Inter-Observer Variability in Optic Disc Analysis for AI-Assisted Glaucoma Screening.

PURPOSE: This study aims to evaluate the inter-observer variability in assessing the optic disc in f...

Artificial intelligence virtual assistants in primary eye care practice.

PURPOSE: To propose a novel artificial intelligence (AI)-based virtual assistant trained on tabular ...

The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children.

The rising prevalence of myopia is a significant global health concern. Atropine eye drops are comm...

Optimizing autonomous artificial intelligence diagnostics for neuro-ocular health in space missions.

Spaceflight-Associated Neuro-Ocular Syndrome (SANS) presents a critical risk in long-duration missio...

Machine Vision with a CMOS-Based Hyperspectral Imaging Sensor Enables Sensing Meat Freshness.

Imaging spectral information of materials and analysis of its properties have become an intriguing t...

CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities.

Modeling Optical Coherence Tomography (OCT) images is crucial for numerous image processing applicat...

Predicting macular hole surgery outcomes: Integrating preoperative OCT features with supervised machine learning statistical models.

PURPOSE: To evaluate various supervised machine learning (ML) statistical models to predict anatomic...

3-Dimensional morphological characterization of neuroretinal microglia in Alzheimer's disease via machine learning.

Alzheimer's Disease (AD) is a debilitating neurodegenerative disease that affects 47.5 million peopl...

An integrated microflow cytometry platform with artificial intelligence capabilities for point-of-care cellular phenotype analysis.

The EZ DEVICE is an integrated fluorescence microflow cytometer designed for automated cell phenotyp...

Artificial intelligence-enabled discovery of a RIPK3 inhibitor with neuroprotective effects in an acute glaucoma mouse model.

BACKGROUND: Retinal ganglion cell (RGC) death caused by acute ocular hypertension is an important ch...

Inhibition of the polyol pathway by extract: plausible implications for diabetic retinopathy treatment.

INTRODUCTION: Diabetic retinopathy is a significant microvascular disorder and the leading cause of ...

Editorial: Vision, learning, and robotics: AI for plants in the 2020s.

Cost-Utility Analysis of Add-on Cannabidiol vs Usual Care Alone for the Treatment of Seizures in Patients With Treatment-Resistant Lennox-Gastaut Syndrome or Dravet Syndrome in the Netherlands.

Lennox-Gastaut syndrome (LGS) and Dravet syndrome (DS) are severe, treatment-refractory, epileptic ...

Tea grading, blending, and matching based on computer vision and deep learning.

BACKGROUND: Accurate tea blending assessment and sample matching are critical in the tea production ...

A comprehensive review on early detection of drusen patterns in age-related macular degeneration using deep learning models.

Age-related Macular Degeneration (AMD) is a leading cause of visual impairment and blindness that af...

Understanding consumer perception and acceptance of AI art through eye tracking and Bidirectional Encoder Representations from Transformers-based sentiment analysis.

This study investigates public perception and acceptance of AI-generated art using an integrated sys...

Neural networks for predicting etiological diagnosis of uveitis.

BACKGROUND/OBJECTIVES: The large number and heterogeneity of causes of uveitis make the etiological ...

Ocular biometric parameters in Chinese preschool children and physiological axial length growth prediction using machine learning algorithms: a retrospective cross-sectional study.

OBJECTIVES: To examine the ocular biometric parameters and predict the annual growth rate of the phy...