Latest AI and machine learning research in ophthalmology for healthcare professionals.
Computer vision holds tremendous potential in crop disease classification, but the complex texture a...
The construction sector is a large consumer of plastic, generating substantial volumes of plastic wa...
Diabetic Retinopathy (DR) is a leading cause of vision impairment globally, necessitating regular sc...
BACKGROUND: Retinopathy of prematurity (ROP) is the leading preventable cause of childhood blindness...
Trimethylamine N-oxide (TMAO), a gut microbiota-derived metabolite, has emerged as a potential contr...
Accurate anatomical measurements of the eyelids are essential in periorbital plastic surgery for bot...
. This study is focused on creating an effective glaucoma detection system employing a Hybrid Centri...
Detecting Alzheimer's disease (AD) in its earliest stages, particularly during an onset of Mild Cogn...
PURPOSE OF REVIEW: Advances in artificial intelligence have integrated into modern medicine decision...
PRCIS: The AI model, enhanced by SMOTE to balance data classes, accurately predicted visual field de...
The integration of multimodal capabilities into GPT-4 represents a transformative leap for artifici...
Micro-expressions are difficult to fake and inherently truthful, making micro-expression recognition...
Automated identification of retinal landmarks, particularly the fovea is crucial for diagnosing diab...
Introducing learnable prompts into CLIP and fine-tuning them have demonstrated excellent performance...
Color fundus images are widely used for diagnosing diseases such as Glaucoma, Cataracts, and Diabeti...
Predictivity of optical coherence tomography (OCT) examination for the development of neovascular ag...
PURPOSE: To systematically assess and compare the accuracy of artificial intelligence (AI) -based in...
A segmentation-free 3D Convolutional Neural Network (3DCNN) model was adopted to estimate Visual Fie...
This study aimed to identify distinct clusters of diabetic macular edema (DME) patients with differe...
The purpose of this study is to examine and interpret machine learning models that predict dry eye (...
In the domain of medical image segmentation, while convolutional neural networks (CNNs) and Transfor...