Ophthalmology

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

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Integrating lightweight YOLOv5s and facial 3D keypoints for enhanced fatigued-driving detection.

Several factors cause vehicle accidents during driving, such as driver negligence, drowsiness, and f...

Large Language Models with Vision on Diagnostic Radiology Board Exam Style Questions.

RATIONALE AND OBJECTIVES: The expansion of large language models to process images offers new avenue...

Leveraging a Vision Transformer Model to Improve Diagnostic Accuracy of Cardiac Amyloidosis With Cardiac Magnetic Resonance.

BACKGROUND: Cardiac magnetic resonance (CMR) imaging is an important diagnostic tool for diagnosis o...

Integrative analysis of PANoptosis-related genes in diabetic retinopathy: machine learning identification and experimental validation.

BACKGROUND: Diabetic retinopathy (DR) is a major complication of diabetes, leading to severe vision ...

Impact of Demographic Modifiers on Readability of Myopia Education Materials Generated by Large Language Models.

BACKGROUND: The rise of large language models (LLM) promises to widely impact healthcare providers a...

Potential impact of organophosphate esters on thyroid eye disease based on machine learning and molecular docking.

Organophosphate esters (OPEs) are widely used as flame retardants and plasticizers in daily commodit...

On the role of visual feedback and physiotherapist-patient interaction in robot-assisted gait training: an eye-tracking and HD-EEG study.

BACKGROUND: Treadmill based Robotic-Assisted Gait Training (t-RAGT) provides for automated locomotor...

Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition.

Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer worldwide, ...

Exploring neural architectures for simultaneously recognizing multiple visual attributes.

Much experimental evidence in neuroscience has suggested a division of higher visual processing into...

Machine Learning Models for Predicting 24-Hour Intraocular Pressure Changes: A Comparative Study.

BACKGROUND Predicting 24-hour intraocular pressure (IOP) fluctuations is crucial for enhancing glauc...

MCPL: Multi-Modal Collaborative Prompt Learning for Medical Vision-Language Model.

Multi-modal prompt learning is a high-performance and cost-effective learning paradigm, which learns...

Rectify ViT Shortcut Learning by Visual Saliency.

Shortcut learning in deep learning models occurs when unintended features are prioritized, resulting...

Applications of Artificial Intelligence in Choroid Visualization for Myopia: A Comprehensive Scoping Review.

Numerous artificial intelligence (AI) models, including deep learning techniques, are being develope...

Diabetic retinopathy detection via deep learning based dual features integrated classification model.

BackgroundThe primary recognition of diabetic retinopathy (DR) is a pivotal requirement to prevent b...

Enhancing Predicted Visual Acuity After SmartSight Lenticule Extraction: Identifying Key Factors With Machine Learning.

PURPOSE: To develop a predictive model aimed at assessing the likelihood of improvement in corrected...

Machine learning analysis of the effects of COVID-19 on migration patterns.

This study investigates the impact of the COVID-19 pandemic on European tourist mobility patterns fr...

Automated Food Weight and Content Estimation Using Computer Vision and AI Algorithms.

The work aims to leverage computer vision and artificial intelligence technologies to quantify key c...

Prediction model for ocular metastasis of breast cancer: machine learning model development and interpretation study.

BACKGROUND: Breast cancer (BC) is caused by the uncontrolled proliferation of breast epithelial cell...

Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine.

Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the op...

Integrative analysis and knowledgebase construction of key candidate genes and pathways in age-related macular degeneration.

Age-related macular degeneration is a retinal disease that severely impacts vision in the older popu...

CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images.

Accurate segmentation of the optic disk (OD) and optic cup (OC) regions of the optic nerve head is a...

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