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 …
[HTML][HTML] Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives
K Jin, J Ye - Advances in ophthalmology practice and research, 2022 - Elsevier
Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …
in medicine. The availability of digitized ocular images and substantial data have made …
[HTML][HTML] Predicting the risk of developing diabetic retinopathy using deep learning
Background Diabetic retinopathy screening is instrumental to preventing blindness, but
scaling up screening is challenging because of the increasing number of patients with all …
scaling up screening is challenging because of the increasing number of patients with all …
Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology
The COVID-19 pandemic has resulted in massive disruptions within health care, both
directly as a result of the infectious disease outbreak, and indirectly because of public health …
directly as a result of the infectious disease outbreak, and indirectly because of public health …
A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images
In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …
learning implementation owing to the exponential rise of computation infrastructure. The …
Artificial intelligence in ophthalmology: The path to the real-world clinic
Z Li, L Wang, X Wu, J Jiang, W Qiang, H Xie… - 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 …
Artificial intelligence in retinal disease: clinical application, challenges, and future directions
Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …
the largest share of visually impaired children, working-age adults (inherited retinal …
Ophthalmic disease detection via deep learning with a novel mixture loss function
X Luo, J Li, M Chen, X Yang, X Li - IEEE Journal of Biomedical …, 2021 - ieeexplore.ieee.org
With the popularization of computer-aided diagnosis (CAD) technologies, more and more
deep learning methods are developed to facilitate the detection of ophthalmic diseases. In …
deep learning methods are developed to facilitate the detection of ophthalmic diseases. In …
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression
Diabetic Retinopathy (DR) is the most popular debilitating impairment of diabetes and it
progresses symptom-free until a sudden loss of vision occurs. Understanding the …
progresses symptom-free until a sudden loss of vision occurs. Understanding the …
Developing and validating a multivariable prediction model which predicts progression of intermediate to late age-related macular degeneration—the PINNACLE trial …
J Sutton, MJ Menten, S Riedl, H Bogunović… - Eye, 2023 - nature.com
Aims Age-related macular degeneration (AMD) is characterised by a progressive loss of
central vision. Intermediate AMD is a risk factor for progression to advanced stages …
central vision. Intermediate AMD is a risk factor for progression to advanced stages …