From data to deployment: the collaborative community on ophthalmic imaging roadmap for artificial intelligence in age-related macular degeneration
Objective Health care systems worldwide are challenged to provide adequate care for the
200 million individuals with age-related macular degeneration (AMD). Artificial intelligence …
200 million individuals with age-related macular degeneration (AMD). Artificial intelligence …
Artificial intelligence (AI) for early diagnosis of retinal diseases
Artificial intelligence (AI) has emerged as a transformative tool in the field of ophthalmology,
revolutionizing disease diagnosis and management. This paper provides a comprehensive …
revolutionizing disease diagnosis and management. This paper provides a comprehensive …
Artificial intelligence meets neuro-ophthalmology
YY Leong, C Vasseneix, MT Finkelstein… - The Asia-Pacific …, 2022 - journals.lww.com
Recent advances in artificial intelligence have provided ophthalmologists with fast, accurate,
and automated means for diagnosing and treating ocular conditions, paving the way to a …
and automated means for diagnosing and treating ocular conditions, paving the way to a …
Automated diagnosis of plus disease in retinopathy of prematurity using quantification of vessels characteristics
The condition known as Plus disease is distinguished by atypical alterations in the retinal
vasculature of neonates born prematurely. It has been demonstrated that the diagnosis of …
vasculature of neonates born prematurely. It has been demonstrated that the diagnosis of …
TINC: temporally informed non-contrastive learning for disease progression modeling in retinal OCT volumes
Recent contrastive learning methods achieved state-of-the-art in low label regimes.
However, the training requires large batch sizes and heavy augmentations to create multiple …
However, the training requires large batch sizes and heavy augmentations to create multiple …
Self-supervised feature learning and phenotyping for assessing age-related macular degeneration using retinal fundus images
B Yellapragada, S Hornauer, K Snyder, S Yu… - Ophthalmology Retina, 2022 - Elsevier
Objective Diseases such as age-related macular degeneration (AMD) are classified based
on human rubrics that are prone to bias. Supervised neural networks trained using human …
on human rubrics that are prone to bias. Supervised neural networks trained using human …
Deep learning approach for differentiating etiologies of pediatric retinal hemorrhages: a multicenter study
Retinal hemorrhages in pediatric patients can be a diagnostic challenge for
ophthalmologists. These hemorrhages can occur due to various underlying etiologies …
ophthalmologists. These hemorrhages can occur due to various underlying etiologies …
[HTML][HTML] Binary and multi-class automated detection of age-related macular degeneration using convolutional-and transformer-based architectures
Abstract Background and Objective: Age-related macular degeneration (AMD) is an eye
disease that happens when ageing causes damage to the macula, and it is the leading …
disease that happens when ageing causes damage to the macula, and it is the leading …
The need for artificial intelligence based risk factor analysis for age-related macular degeneration: a review
In epidemiology, a risk factor is a variable associated with increased disease risk.
Understanding the role of risk factors is significant for developing a strategy to improve …
Understanding the role of risk factors is significant for developing a strategy to improve …
Research on an intelligent lightweight‐assisted pterygium diagnosis model based on anterior segment images
B Zheng, Y Liu, K He, M Wu, L Jin, Q Jiang… - Disease …, 2021 - Wiley Online Library
Aims. The lack of primary ophthalmologists in China results in the inability of basic‐level
hospitals to diagnose pterygium patients. To solve this problem, an intelligent‐assisted …
hospitals to diagnose pterygium patients. To solve this problem, an intelligent‐assisted …