Ophthalmology

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

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Transferable polychromatic optical encoder for neural networks.

Artificial neural networks have fundamentally transformed the field of computer vision, providing un...

Uncovering memorization effect in the presence of spurious correlations.

Machine learning models often rely on simple spurious features - patterns in training data that corr...

A versatile framework for attitude tuning of beamlines at light source facilities.

Aside from regular beamline experiments at light sources, the preparation steps before these experim...

[From global strategy to local consultation: A future vision of physical activity in primary care].

This article reflects on the key role that primary care must play in promoting physical activity as ...

An intelligent screener for mild cognitive impairment via integrated eye-tracking and the digital clock drawing test.

BackgroundMild cognitive impairment (MCI) is a risk factor for dementia, and early screening is cruc...

Cognition-Eye-Brain Connection in Alzheimer's Disease Spectrum Revealed by Multimodal Imaging.

BACKGROUND: The connection between cognition, eye, and brain remains inconclusive in Alzheimer's dis...

Identification of a Novel Subtype of Ocular Hypertensive Eyes with the Lowest Risk of Progression Under Treatment.

INTRODUCTION: Our aim in this work is to identify a subtype of ocular hypertensive eyes that benefit...

Artificial Intelligence-Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs.

BACKGROUND: Prompt diagnosis of acute central retinal artery occlusion (CRAO) is crucial for therape...

Integrating multi-omics and machine learning for disease resistance prediction in legumes.

Multi-omics assisted prediction of disease resistance mechanisms using machine learning has the pote...

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UNLABELLED: Early detection of glaucoma represents a vital factor in securing vision while the disea...

Screening of Glaucoma in High-Risk Minority Populations.

PRECIS: This chapter reviews the current recommendations on screening for open angle glaucoma in Bla...

The Eye of Horus: Enhancing Head and Neck Cancer Care with Computer Vision.

BACKGROUND: Head and neck cancer (HNC) poses formidable treatment challenges globally due to complex...

A Wavelet-guided Deep Unfolding Network for Single Image Reflection Removal.

Removing unwanted reflections from images is a fundamental yet challenging problem in low-level comp...

Predicting Retinal Nerve Fiber Layer Thickness From Ocular Hypertension Treatment Study Optic Disc Photographs.

IMPORTANCE: Deep learning predictions of retinal nerve fiber layer (RNFL) thickness derived from opt...

Evaluating the effectiveness of chatbots and traditional resources in patient education on dry eye disease.

CLINICAL RELEVANCE: Artificial intelligence chatbots demonstrate potential as valuable educational r...

Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages.

PURPOSE: Leveraging an artificial intelligence system (AI) for glaucoma screening can mitigate the c...

ArtInsight: A detailed dataset for detecting deterioration in easel paintings.

ArtInsight is an innovative dataset designed to detect deterioration in fine art, specifically easel...

Metasurface-enhanced terahertz imaging for glioblastoma in orthotopic xenograft mouse model combined with neural network decision making.

Terahertz (THz) optical sensing and imaging offer significant potential in a range of biological and...

Topo-CNN: Retinal Image Analysis with Topological Deep Learning.

The analysis of fundus images is vital for early detection of retinal diseases such as diabetic reti...

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