Latest AI and machine learning research in ophthalmology for healthcare professionals.
This work presents an embedded solution for detecting and classifying head-level objects using stere...
PRCIS: Using a CNN-enhanced platform, 60-4 visual fields identified peripheral glaucomatous defects ...
INTRODUCTION: Artificial intelligence (AI) shows promise in ophthalmology, but its potential in tert...
Polygenic risk scores (PRSs) serve as quantitative metrics of genetic liability for various conditio...
In the research on intelligent perception, dynamic emotion recognition has been the focus in recent ...
Inherited retinal dystrophies (IRDs) represent a group of heterogeneous disorders caused by gene mut...
BACKGROUND: Retinal fibrosis, a common pathological feature of various retinal diseases, significant...
AIM: To conduct a comprehensive bibliometric analysis of age-related macular degeneration (AMD) rese...
Accurate and rapid discrimination of multiple explosives with high precision is of paramount importa...
Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morb...
The development of intelligent camouflage systems demands advanced materials and control strategies ...
Morphological classification is the gold standard for identifying necrophilous flies, but its comple...
Retinal diseases recognition is still a challenging task. Many deep learning classification methods ...
Despite current screening models, enhanced imaging modalities, and treatment regimens, diabetic reti...
AIM: To evaluate the impact of fluid volume fluctuations quantified with artificial intelligence in ...
BACKGROUND: Idiopathic macular hole is an ophthalmic disease that seriously affects vision, and its ...
The many layers of the neuroretina contain a complex, interconnected network of specialized neurons ...
Cataracts are a leading cause of global blindness, with many low-resource populations having poor ac...
This theoretical essay offers a critical exploration of the ethics involved in interacting with and ...
PURPOSE: To investigate the usefulness of a machine learning (ML) model that can predict the natural...
BACKGROUND: Idiopathic intracranial hypertension (IIH) is a vision-threatening disorder mainly affec...