Ophthalmology

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

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Advancing respiratory disease diagnosis: A deep learning and vision transformer-based approach with a novel X-ray dataset.

With the increasing prevalence of respiratory diseases such as pneumonia and COVID-19, timely and ac...

Advances in disease detection through retinal imaging: A systematic review.

Ocular and non-ocular diseases significantly impact millions of people worldwide, leading to vision ...

Modeling eye gaze velocity trajectories using GANs with spectral loss for enhanced fidelity.

Accurate modeling of eye gaze dynamics is essential for advancement in human-computer interaction, n...

PathVLM-Eval: Evaluation of open vision language models in histopathology.

The emerging trend of vision language models (VLMs) has introduced a new paradigm in artificial inte...

Lissamine Green in Ophthalmology: A Comprehensive Review of Diagnostic and Clinical Applications.

Lissamine green (LG), a diagnostic dye that stains devitalized or damaged epithelial cells, is widel...

Interpretable machine learning models for predicting childhood myopia from school-based screening data.

This study assessed the efficacy of various diagnostic indicators and machine learning (ML) models i...

Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals.

Numerous studies have demonstrated that eyeblinks and other large artifacts can decrease the signal-...

A Dual-Modal Robot Welding Trajectory Generation Scheme for Motion Based on Stereo Vision and Deep Learning.

To address the challenges of redundant point cloud processing and insufficient robustness under comp...

Investigation of Short-term Crystalline Lens Positional Shifts Following ICL Implantation Using SS-OCT Integrated With Multi-task Deep Learning.

PURPOSE: To investigate the tilt and decentration of the crystalline lens shortly after Implantable ...

Comprehensive dataset of Portuguese folk instruments for computer vision and heritage research.

This dataset contains visual data of traditional Portuguese musical instruments extracted from video...

Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities.

PURPOSE: Automated surgical phase recognition (SPR) uses artificial intelligence (AI) to segment the...

Performance of artificial intelligence-based models for epiretinal membrane diagnosis: A systematic review and meta-analysis.

TOPIC: Epiretinal membrane (ERM) can impair central vision by forming a pre-retinal fibrous layer on...

A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer.

The brain serves as the central command center for the nervous system in the human body and is made...

Integration of proteomics and artificial intelligence-driven OCT biomarker analysis in central retinal vein occlusion.

Retinal OCT biomarker analysis by artificial intelligence (AI) has not previously been integrated wi...

Effectiveness of smartphone technology for detection of paediatric ocular diseases-a systematic review.

BACKGROUND: Artificial intelligence has become part of healthcare with a multitude of applications b...

Deep learning-driven approach for cataract management: towards precise identification and predictive analytics.

Deep learning (DL) technology has shown significant potential in the whole process of cataract diagn...

A machine learning model for predicting anatomical response to Anti-VEGF therapy in diabetic macular edema.

PURPOSE: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in ...

Predictive modeling of hemoglobin refractive index using Gaussian process regression with interpretability through partial dependence plots.

Accurately predicting the refractive index of hemoglobin across various wavelengths and concentratio...

A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America.

This scoping review aims to identify regulator-approved ophthalmic image analysis artificial intelli...

Glaucoformer: Dual-domain Global Transformer Network for Generalized Glaucoma Stage Classification.

Classification of glaucoma stages remains challenging due to substantial inter-stage similarities, t...

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