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Artificial intelligence in ophthalmology: The path to the real-world clinic
Z Li, L Wang, X Wu, J Jiang, W Qiang, H **e… - Cell Reports …, 2023 - cell.com
Artificial intelligence (AI) has great potential to transform healthcare by enhancing the
workflow and productivity of clinicians, enabling existing staff to serve more patients …
workflow and productivity of clinicians, enabling existing staff to serve more patients …
[HTML][HTML] Advances in optical coherence tomography imaging technology and techniques for choroidal and retinal disorders
Optical coherence tomography (OCT) imaging has played a pivotal role in the field of retina.
This light-based, non-invasive imaging modality provides high-quality, cross-sectional …
This light-based, non-invasive imaging modality provides high-quality, cross-sectional …
Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2d scans
The application of machine learning to tasks involving volumetric biomedical imaging is
constrained by the limited availability of annotated datasets of three-dimensional (3D) scans …
constrained by the limited availability of annotated datasets of three-dimensional (3D) scans …
Automated identification of incomplete and complete retinal epithelial pigment and outer retinal atrophy using machine learning
Objective To assess and validate a deep learning algorithm to automatically detect
incomplete retinal pigment epithelial and outer retinal atrophy (iRORA) and complete retinal …
incomplete retinal pigment epithelial and outer retinal atrophy (iRORA) and complete retinal …
Robust amd stage grading with exclusively octa modality leveraging 3D volume
Abstract Age-related Macular Degeneration (AMD) is a degenerative eye disease that
causes central vision loss. Optical Coherence Tomography Angiography (OCTA) is an …
causes central vision loss. Optical Coherence Tomography Angiography (OCTA) is an …
Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers
Age-related Macular Degeneration (AMD) is a major cause of irreversible vision loss in
individuals over 55 years old in the United States. One of the late-stage manifestations of …
individuals over 55 years old in the United States. One of the late-stage manifestations of …
Hybrid classical–quantum neural networks enhanced by quantum architecture search for coronary artery stenosis detection
S Li, J Cui, J Ren - Neurocomputing, 2025 - Elsevier
The quantum circuit is a pivotal component of the hybrid classical–quantum neural network,
and its efficacy influences the network's overall performance. Given the vast number of …
and its efficacy influences the network's overall performance. Given the vast number of …
A multi-modal AI-driven cohort selection tool to predict suboptimal non-responders to aflibercept loading-phase for neovascular age-related macular degeneration …
Patients diagnosed with exudative neovascular age-related macular degeneration are
commonly treated with anti-vascular endothelial growth factor (anti-VEGF) agents. However …
commonly treated with anti-vascular endothelial growth factor (anti-VEGF) agents. However …
Deep learning-driven automated quality assessment of ultra-widefield optical coherence tomography angiography images for diabetic retinopathy
Y **, F Gui, M Chen, X Chen, H Li, J Zhang - The Visual Computer, 2024 - Springer
Image quality assessment (IQA) of fundus images constitutes a foundational step in
automated disease analysis. This process is pivotal in supporting the automation of …
automated disease analysis. This process is pivotal in supporting the automation of …
Prediction of activity in eyes with macular neovascularization due to age-related macular degeneration using deep learning
Optical coherence tomography (OCT) technology has been particularly transformative for the
clinical management of agerelated macular degeneration (AMD) as it provides …
clinical management of agerelated macular degeneration (AMD) as it provides …