Ophthalmology

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

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Early diagnosis of keratoconus using corneal biomechanics and OCT derived technologies.

BACKGROUND: Early detection of keratoconus is essential for maximizing the potential of cross-linkin...

Diabetic retinopathy-recommendations for screening and treatment.

Diabetic retinopathy (DR), the prevalence of which continues to rise, is one of the most common caus...

Restoring AIBP expression in the retina provides neuroprotection in glaucoma.

Glaucoma is a neurodegenerative disease manifested by retinal ganglion cell (RGC) death and irrevers...

Application of Artificial Intelligence to Deliver Healthcare From the Eye.

IMPORTANCE: Oculomics is the science of analyzing ocular data to identify, diagnose, and manage syst...

Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.

SIGNIFICANCE: Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in o...

Learning Emotion Category Representation to Detect Emotion Relations Across Languages.

Understanding human emotions is crucial for a myriad of applications, from psychological research to...

Multimodal AI diagnostic system for neuromyelitis optica based on ultrawide-field fundus photography.

PURPOSE: While deep learning (DL) has demonstrated significant utility in ocular diseases, no clinic...

Prediction of perimetric progression in ocular hypertension and open angle glaucoma based on corneal biomechanics.

PurposeTo identify parameters that are significant risk predictors of visual field (VF) progression ...

Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.

BACKGROUND: Accurate measurement of anterior segment parameters is crucial for diagnosing and managi...

AI-assisted ophthalmic imaging for early detection of neurodegenerative diseases.

BACKGROUND: Artificial intelligence (AI) plays a promising role in ophthalmic imaging by providing i...

Evaluating the Diagnostic and Treatment Capabilities of GPT-4 Vision in Dermatology: A Pilot Study.

BACKGROUND: The integration of generative artificial intelligence within dermatology presents a new ...

Frozen Large-Scale Pretrained Vision-Language Models are the Effective Foundational Backbone for Multimodal Breast Cancer Prediction.

Breast cancer is a pervasive global health concern among women. Leveraging multimodal data from ente...

A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading.

As the most common complication of diabetes, diabetic retinopathy (DR) is one of the main causes of ...

Assessing the effects of a 660 nm diode laser on crustacean eyes.

Sustainable management of crustacean fisheries requires accurate and timely data for population mode...

Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation.

Diabetes is a widespread condition that can lead to serious vision problems over time. Timely identi...

Deep learning-assisted 10-μL single droplet-based viscometry for human aqueous humor.

Probing the viscosity of human aqueous humor is crucial for optimizing micro-tube shunts in glaucoma...

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