Ophthalmology

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

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Navigating Through Whole Slide Images With Hierarchy, Multi-Object, and Multi-Scale Data.

Building deep learning models that can rapidly segment whole slide images (WSIs) using only a handfu...

Forecasting optimal treatments in relapsed/refractory mature T- and NK-cell lymphomas: A global PETAL Consortium study.

There is no standard of care in relapsed/refractory T-cell/natural killer-cell lymphomas. Patients o...

Artificial intelligence in retinal image analysis for hypertensive retinopathy diagnosis: a comprehensive review and perspective.

Hypertensive retinopathy (HR) occurs when the choroidal vessels, which form the photosensitive layer...

A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images.

Recent advancements in deep learning have significantly impacted medical image processing domain, en...

Machine Learning-Driven Identification of Hematological and Immunological Biomarkers for Predicting Proliferative Diabetic Retinopathy Progression.

PURPOSE: Proliferative Diabetic Retinopathy (PDR) is a severe complication of diabetes characterized...

Predicting Visual Acuity after Retinal Vein Occlusion Anti-VEGF Treatment: Development and Validation of an Interpretable Machine Learning Model.

Accurate prediction of post-treatment visual acuity in macular edema secondary to retinal vein occlu...

Enhanced glaucoma classification through advanced segmentation by integrating cup-to-disc ratio and neuro-retinal rim features.

Glaucoma is a progressive eye condition caused by high intraocular fluid pressure, damaging the opti...

Cauliflower leaf diseases: A computer vision dataset for smart agriculture.

Cauliflower is among the more well-known vegetables there are. Consumed all around the globe due to ...

Risk for ocular hypertension progression to early glaucoma: A predictive model and key predictors.

BACKGROUND: Ocular hypertension (OHT) is the most significant risk factor for glaucoma. We aimed to ...

Sustaining Ophthalmic Practices for the Future: A High-Value Care Approach to Environmental Responsibility.

Ophthalmology, like all medical specialities, is continuously evolving to adapt to emerging challeng...

Retinal Ischemic Perivascular Lesions (RIPLs) as Potential Biomarkers for Systemic Vascular Diseases: A Narrative Review of the Literature.

Retinal ischemic perivascular lesions (RIPLs) are characteristic focal thinning of the inner nuclear...

Construction of a multi-modal digital human education platform based on GAN and vision transformer.

With the rapid development of artificial intelligence technology, digital human education platforms ...

Intraocular lens calculation formula developed using artificial intelligence for ultrasonic biometry.

PURPOSE: We developed an artificial intelligence program for calculating intraocular lenses and anal...

Interpretable Machine Learning for Predicting Anterior Uveitis in Axial Spondyloarthritis.

BACKGROUND: Axial spondyloarthritis (axSpA) is a chronic inflammatory disease primarily affecting th...

Current and Emerging Precision Therapies for Developmental and Epileptic Encephalopathies.

Developmental and epileptic encephalopathies (DEEs) are severe neurological disorders characterized ...

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Efficient Foveated Rendering in Virtual Reality.

Leveraging real-time eye tracking, foveated rendering optimizes hardware efficiency and enhances vis...

Vision transformer and deep learning based weighted ensemble model for automated spine fracture type identification with GAN generated CT images.

The most common causes of spine fractures, or vertebral column fractures (VCF), are traumas like fal...

Breast Pathology Through the Digital Lens.

Digital pathology (DP) has significantly transformed breast pathology at Mount Sinai Hospital by enh...

Developmental coordination disorder and cerebral visual impairment: What is the association?

INTRODUCTION: Children with Developmental Coordination Disorder (DCD) experience impairments beyond ...

Adaptive lift chiller units fault diagnosis model based on machine learning.

The early minor faults generated by the chiller in operation are not easy to perceive, and the sever...

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