An overview of artificial intelligence in diabetic retinopathy and other ocular diseases
Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …
empowers machines using human intelligence. AI refers to the technology of rendering …
Deep learning applications to classification and detection of age-related macular degeneration on optical coherence tomography imaging: a review
Age-related macular degeneration (AMD) is one of the leading causes of blindness in the
elderly, more commonly in developed countries. Optical coherence tomography (OCT) is a …
elderly, more commonly in developed countries. Optical coherence tomography (OCT) is a …
Biomarkers for the progression of intermediate age-related macular degeneration
Age-related macular degeneration (AMD) is a leading cause of severe vision loss
worldwide, with a global prevalence that is predicted to substantially increase. Identifying …
worldwide, with a global prevalence that is predicted to substantially increase. Identifying …
[HTML][HTML] The upcoming role of Artificial Intelligence (AI) for retinal and glaucomatous diseases
LF Desideri, C Rutigliani, P Corazza, A Nastasi… - Journal of …, 2022 - Elsevier
In recent years, the role of artificial intelligence (AI) and deep learning (DL) models is
attracting increasing global interest in the field of ophthalmology. DL models are considered …
attracting increasing global interest in the field of ophthalmology. DL models are considered …
Oct-based deep-learning models for the identification of retinal key signs
I Leandro, B Lorenzo, M Aleksandar, M Dario… - Scientific Reports, 2023 - nature.com
A new system based on binary Deep Learning (DL) convolutional neural networks has been
developed to recognize specific retinal abnormality signs on Optical Coherence …
developed to recognize specific retinal abnormality signs on Optical Coherence …
Automated machine learning model for fundus image classification by health-care professionals with no coding experience
To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of
binary outcomes from fundus images in ophthalmology, evaluating two distinct online-based …
binary outcomes from fundus images in ophthalmology, evaluating two distinct online-based …
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 …
Artificial intelligence in age-related macular degeneration: state of the art and recent updates
E Crincoli, R Sacconi, L Querques, G Querques - BMC ophthalmology, 2024 - Springer
Age related macular degeneration (AMD) represents a leading cause of vision loss and it is
expected to affect 288 million people by 2040. During the last decade, machine learning …
expected to affect 288 million people by 2040. During the last decade, machine learning …
Graphical Perception of Saliency-based Model Explanations
Y Zhao, M Li, M Berger - Proceedings of the 2023 CHI Conference on …, 2023 - dl.acm.org
In recent years, considerable work has been devoted to explaining predictive, deep learning-
based models, and in turn how to evaluate explanations. An important class of evaluation …
based models, and in turn how to evaluate explanations. An important class of evaluation …
Multimodal and multi-omics-based deep learning model for screening of optic neuropathy
Y Lin, Q Zhou, J Tan, Y Tao - Heliyon, 2023 - cell.com
Purpose To examine the use of multimodal data and multi-omics strategies for optic nerve
disease screening. Methods This was a single-center retrospective study. A deep learning …
disease screening. Methods This was a single-center retrospective study. A deep learning …