Ophthalmology

Enhanced Transcytosis and Retention (ETR) of Drug Delivery Nanocarrier in Solid Tumors.

ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful pathway for macromolecule transport across endothelial and epithelial barriers. The emerging concept of Enhanced Transcytosis and Retention (ETR) is distinct from passive extravasation or tissue leakiness. It recasts nanocarrier delivery as an orchestrated chain of interfacial equilibria in which en...

Generative Artificial Intelligence for Postoperative Parameters Prediction in Implantable Collamer Lens Surgery.

PURPOSE: To predict multiple postoperative parameters following implantable collamer lens (ICL) surgery with generative artificial intelligence, using preoperative anterior segment optical coherence tomography (AS-OCT) images as the input. SETTING: Daikanyama Eye Clinic, Tokyo, Japan; Miyata Eye Hospital, Miyazaki, Japan; Nagoya Eye Clinic, Nagoya, Japan; Yokohama Sky Eye Clinic, Kanagawa, Japan. ...

[Plasma proteomics in age-related macular degeneration].

BACKGROUND: Neovascular age-related macular degeneration (nAMD) shows a heterogeneous treatment response to anti-vascular endothelial growth factor (V...

HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image Classification.

The analysis of fundus images is critical for the early detection and diagnosis of retinal diseases such as diabetic retinopathy (DR), glaucoma, and a...

Training and validation of an automated algorithm to differentiate no and minimal diabetic retinopathy from more severe stages in wide-field images.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of blindness in the working-age population. Screening is essential to identify and treat sight-t...

Central Serous Chorioretinopathy is Associated with Increased Cardiovascular Risk: An Artificial Intelligence-Based Retinal Analysis.

PURPOSE: The association between central serous chorioretinopathy (CSC) and cardiovascular disease (CVD) risk is debated. We aimed to investigate this...

Multimodal Skin Disease Classification Using Vision Transformers, Medical Captioning, and Metadata Fusion: An Analysis on the ISIC 2024 Dataset.

Skin cancer and dermatological diseases are among the most prevalent global health conditions, where early and accurate diagnosis is critical for impr...

BigEye: a clinically interpretable deep learning framework for diabetic retinopathy detection and stage prediction.

Diabetic Retinopathy (DR) is a major cause of vision loss and blindness in diabetic individuals. DR is conventionally diagnosed by assessing retinal l...

AI-Driven Diagnostics vs. Clinician Assessment in Diabetic Retinopathy: A Comparative Analysis at a Secondary Eye Care Centre.

PURPOSE: To determine the diagnostic accuracy and reliability of artificial intelligence (AI) in identifying diabetic retinopathy (DR) and macular oed...

Artificial Intelligence in Screening and Grading Diabetic Eye Diseases: A Systematic Review From Algorithms to Clinic.

SIGNIFICANCE: This systematic review comprehensively synthesises the progress of artificial intelligence in the grading diagnosis of diabetes-related ...

Model utility and explainability in federated learning - A case study in healthcare using fundus oculi datasets.

OBJECTIVE: Introduce a case study for Federated Learning (FL) in healthcare, addressing challenges posed by patient privacy and limited large-scale da...

Integrating genetics, age and imaging to predict treatment outcomes in neovascular age-related macular degeneration: a proof-of-concept study.

An intelligent approach for early smoke/fire detection using vision sensors in smart cities.

Early and reliable detection of smoke and fire is essential for minimizing damage and ensuring public safety in smart city environments; however, exis...

Artificial Intelligence in Vitreoretinal Surgery: A Systematic Review of Current Applications and Future Directions.

INTRODUCTION: To examine the current landscape of artificial intelligence (AI) applications in vitreoretinal (VR) diseases and surgery, with the aim o...

Cross-validation strategies under data dependency: An example with anemia prediction in sheep using ocular conjunctiva images.

Computer vision techniques have been increasingly used in livestock farming for tasks such as animal identification and health monitoring, but their p...

PM2.5 exposure induces functional alterations in pregnant rats heart and in human stem cell derived cardiac spheroids.

Air pollution is a major cardiovascular risk factor, with particulate matter (PM) posing significant threats. The Po Valley remains among Europe's mos...

Modifiable risk factors associated with increased retinal age gap in an Australian population.

Retinal age gap (RAG)-the difference between retina-predicted age and chronological age-indicates biological ageing that has been linked to the risk o...

Deep learning-based prediction of 24-2 visual field from fundus photographs in glaucoma.

Development trajectory and trends of ultrasound biomicroscopy in glaucoma research: a comprehensive 20-year bibliometric analysis.

PURPOSE: This study conducts a comprehensive bibliometric analysis regarding the application of ultrasound biomicroscopy in glaucoma research over the...

Reimagining Thomas Lewis's perspective: using artificial intelligence tools to predict cardiovascular risk from computed tomography.

Artificial intelligence (AI) is reshaping cardiovascular imaging, transforming it from a set of diagnostic tests into powerful tools of precision medi...