Latest AI and machine learning research in ophthalmology for healthcare professionals.
Terahertz (THz) spectroscopy has recently gained significant attention as a powerful tool for biomac...
Blind Face Restoration (BFR) aims to reconstruct high-quality face images from low-quality inputs wi...
Visual recognition models have achieved unprecedented success in various tasks. While researchers ai...
Refractance window drying (RWD) has emerged as a high-efficiency, low-temperature dehydration techno...
Toddlers learn to recognize objects from different viewpoints with almost no supervision. During thi...
BACKGROUND: The lens of the eye is highly radiosensitive, yet personalized shielding during head CT ...
INTRODUCTION: Colorectal cancer (CRC) screening remains limited by invasiveness and suboptimal sensi...
PURPOSE: To develop and benchmark a unified Deep Learning (DL) pipeline for automated detection and ...
Commercial gold nanoparticle-based lateral flow immunoassays (LFIAs) are widely used for point-of-ca...
BackgroundMild cognitive impairment is a prodromal stage of dementia, and early identification is cr...
Aging often reduces opportunities for everyday interaction and instrumental support, raising questio...
PURPOSE: This study developed an automated deep learning-based system to quantify retinoschisis and ...
Machine learning models, especially vision transformers in the domain of medical images, are highly ...
PURPOSE: To evaluate the accuracy and reliability of four artificial intelligence (AI) models-ChatGP...
PURPOSE: To use deep learning models on baseline Scheimpflug corneal images from three different cor...
The purpose was to examine how variations in AI output design affect radiologists' performance in in...
Advances in voice recognition and artificial intelligence (AI) could soon yield digital conversation...
AIM: To evaluate a real-world clinical integration of an autonomous artificial intelligence (AI) sys...
Bacterial keratitis is a major cause of corneal blindness worldwide, with marked differences in clin...
PURPOSE: To evaluate the diagnostic performance of a regulatory-approved (CE-marked) artificial inte...
BACKGROUND: Retinal microvascular parameters are potential biomarkers for systemic vascular health. ...