Latest AI and machine learning research in ophthalmology for healthcare professionals.
BACKGROUND AND OBJECTIVE: For the augmented reality of surgical navigation, which overlays a 3D mode...
In this study, we delve into the adaptation and effectiveness of Transformer-based, pre-trained Larg...
PURPOSE: To describe the application of artificial intelligence (AI) in ophthalmic diseases and its ...
Feed costs constitute a significant part of the expenses in the aquaculture industry. However, feedi...
A seven-year-old girl was referred for the treatment of her primary teeth. An inferior alveolar nerv...
PURPOSE: Stereopsis, the ability of humans to perceive depth through distinct visual stimuli in each...
Medical image segmentation is a crucial component of computer-aided clinical diagnosis, with state-o...
BACKGROUND/OBJECTIVES: To characterise morphological changes in neovascular age-related macular dege...
In robotics, particularly for autonomous navigation and human-robot collaboration, the significance ...
BACKGROUND AND OBJECTIVE: Sudden cardiac death (SCD) is a critical health issue characterized by the...
Fundus images are crucial in the observation and detection of ophthalmic diseases. However, detectin...
Virtual reality (VR) can potentially enhance student engagement and memory retention in the classroo...
The development of biologically-inspired computational models has been the focus of study ever since...
Pinelliae Rhizoma is a key ingredient in botanical supplements and is often adulterated by Rhizoma P...
The field of radiology imaging has experienced a remarkable increase in using of deep learning (DL) ...
CLINICAL RELEVANCE: Identifying polarisation-modulated patterns may be an effective method for both ...
PURPOSE: To describe choroidal thickness measurements using a sequential deep learning segmentation ...
INTRODUCTION: Age-related macular degeneration (AMD) is a leading cause of irreversible blindness wo...
PURPOSE: To evaluate the accuracy of large language models (LLMs) in answering ophthalmology board-s...
With the ongoing revolution of artificial intelligence (AI) in medicine, the impact of AI in radiolo...
The application of machine learning to tasks involving volumetric biomedical imaging is constrained ...