Latest AI and machine learning research in ophthalmology for healthcare professionals.
Early detection of Diabetic Retinopathy (DR) is vital for preserving vision and preventing deteriora...
Owing to advancements in deep learning technology, vision transformers (ViTs) have demonstrated impr...
Machine learning-based computer vision techniques using depth cameras have shown potential in physio...
BACKGROUND: Acute vestibular syndrome usually represents either vestibular neuritis (VN), an innocuo...
INTRODUCTION: Large learning models (LLMs) such as GPT are advanced artificial intelligence (AI) mod...
IMPORTANCE: While prospective studies have investigated the accuracy of artificial intelligence (AI)...
Optical coherence tomography (OCT) is a non-invasive imaging modality essential for macular hole (MH...
This study aimed to develop an interpretable machine learning model to predict methylene blue (MB) r...
Since vision transformers excel at establishing global relationships between features, they play an ...
The integration of artificial intelligence (AI) in ophthalmology is transforming the field, offering...
The retina is an important part of the eye that aids in focusing light and visual recognition to the...
Vision-Language Models (VLMs) are regarded as efficient paradigms that build a bridge between visual...
OBJECTIVE: To compare accuracy of 7 artificial intelligence (AI)-based intraocular lens (IOL) power ...
PURPOSE: Develop and test a deep learning (DL) algorithm for detecting referable glaucoma.
BACKGROUND: Artificial Intelligence (AI) offers transformative potential for human-computer interact...
Diabetic retinopathy (DR), the leading cause of vision loss among diabetic adults worldwide, undersc...
Given how the diagnosis and management of many ocular and, most specifically, retinal diseases heavi...
SIGNIFICANCE: Machine learning random forest algorithms were used to predict objective refractive ou...
Wide-field optical coherence tomography (OCT) imaging can enable monitoring of peripheral changes in...
Image denoising is a critical problem in low-level computer vision, where the aim is to reconstruct ...
Oral carcinoma (OC) is a toxic illness among the most general malignant cancers globally, and it has...