Ophthalmology

Latest AI and machine learning research in ophthalmology for healthcare professionals.

6,142 articles
Stay Ahead - Weekly Ophthalmology research updates
Subscribe
Browse Specialties
Showing 190-210 of 6,142 articles
Recent advances and future perspectives of long-acting ophthalmic preparations (LAOPs) in clinical applications.

The intricate structure of ocular barriers significantly impedes drug penetration, leading to subopt...

Macular pigment optical density and measurement technology based on artificial intelligence: a narrative review.

Macular pigment (MP) is a crucial pigment in the macular region. It plays an important role in filte...

The Missing Link: Integrating Interventional Pain Management in the Era of Multimodal Oncology.

Cancer-related pain (CrP) is one of the most frequent and debilitating issues that affect the qualit...

Artificial intelligence for glaucoma.

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine t...

Research on the correlation between retinal vascular parameters and axial length in children using an AI-based fundus image analysis system.

OBJECTIVE: This study aims to utilize artificial intelligence technology to conduct an in-depth anal...

Multimodal personalization of transcranial direct current stimulation for modulation of sensorimotor integration.

Transcranial direct current stimulation (tDCS) for the modulation of smooth pursuit eye movements pr...

Early detection and staging of retinitis pigmentosa using multifocal electroretinogram parameters and machine learning algorithms.

Retinitis pigmentosa is an inherited retinal disease caused by damage to photoreceptor cells. Diagno...

Artificial intelligence versus ophthalmology experts: Comparative analysis of responses to blepharitis patient queries.

ObjectiveTo assess the accuracy and clinical education value of responses from AI models (GPT-3.5, G...

Integrating explainable machine learning and transcriptomics data reveals cell-type specific immune signatures underlying macular degeneration.

Genome-wide association studies (GWAS) have established key role of immune dysfunction in Age-relate...

Retinal Vessel Traits and Age-Related Eye Disease in the Canadian Longitudinal Study on Aging.

BACKGROUND: To cross-sectionally and longitudinally examine whether retinal vessel traits are associ...

Artificial intelligence for age-related macular degeneration diagnosis in Australia: A Novel Qualitative Interview Study.

INTRODUCTION: Artificial intelligence (AI) systems for age-related macular degeneration (AMD) diagno...

Prediction of NIHSS Scores and Acute Ischemic Stroke Severity Using a Cross-attention Vision Transformer Model with Multimodal MRI.

RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate models for classifying the severi...

Detecting optimal gaze behavior of successful basketball free throwing via machine learning system.

Eye tracking in sport is an emerging field that explores the relationships between visual function a...

The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis.

Thorough investigations of end-users' awareness, acceptance, and concerns about ophthalmic artificia...

Lumbar spinal stenosis: current concept of management.

Lumbar spinal stenosis (LSS) is a common degenerative spinal condition where spinal canal narrowing ...

High-Performance Broadband Integrated Detection System for Multifunctional Applications.

In the digital era, photodetectors have become indispensable components in optical communication, im...

Benchmarking test-retest variability in microperimetry for intermediate age-related macular degeneration using MP-3 and MAIA.

OBJECTIVE: Microperimetry (MP) has emerged as a clinical functional endpoint in nonexudative age-rel...

Harmful Algae Forecasting through an Ocean Data Justice Lens.

Forecasting systems for harmful algal blooms (HABs) are becoming more common, as HAB monitoring is i...

Artificial Intelligence Deep Learning Models to Predict Spaceflight Associated Neuro-ocular Syndrome (SANS).

PURPOSE: To create deep learning artificial intelligence (AI) models for predicting the development ...

A cross population study of retinal aging biomarkers with longitudinal pre-training and label distribution learning.

Retinal age has emerged as a promising biomarker of aging, offering a non-invasive and accessible as...

Browse Specialties