AIMC Topic: Macular Degeneration
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Serum metabolite biomarkers for the early diagnosis and monitoring of age-related macular degeneration.
Journal of advanced research
Oct 5, 2024
INTRODUCTION: Age-related macular degeneration (AMD) is a leading cause of irreversible blindness worldwide, with significant challenges for early diagnosis and treatment.
AI in the clinical management of GA: A novel therapeutic universe requires novel tools.
Progress in retinal and eye research
Sep 27, 2024
Regulatory approval of the first two therapeutic substances for the management of geographic atrophy (GA) secondary to age-related macular degeneration (AMD) is a major breakthrough following failure of numerous previous trials. However, in the absen...
Empowering Portable Age-Related Macular Degeneration Screening: Evaluation of a Deep Learning Algorithm for a Smartphone Fundus Camera.
BMJ open
Sep 5, 2024
OBJECTIVES: Despite global research on early detection of age-related macular degeneration (AMD), not enough is being done for large-scale screening. Automated analysis of retinal images captured via smartphone presents a potential solution; however,...
Linking disease activity with optical coherence tomography angiography in neovascular age related macular degeneration using artificial intelligence.
Scientific reports
Aug 20, 2024
To investigate quantitative associations between AI-assessed disease activity and optical coherence tomography angiography (OCTA)-derived parameters in patients with neovascular age-related macular degeneration (nAMD) undergoing anti-VEGF therapy. OC...
A novel approach for automatic classification of macular degeneration OCT images.
Scientific reports
Aug 20, 2024
Age-related macular degeneration (AMD) and diabetic macular edema (DME) are significant causes of blindness worldwide. The prevalence of these diseases is steadily increasing due to population aging. Therefore, early diagnosis and prevention are cruc...
Real-world evaluation of RetCAD deep-learning system for the detection of referable diabetic retinopathy and age-related macular degeneration.
Clinical & experimental optometry
Aug 12, 2024
CLINICAL RELEVANCE: The challenges of establishing retinal screening programs in rural settings may be mitigated by the emergence of deep-learning systems for early disease detection.
Metadata-enhanced contrastive learning from retinal optical coherence tomography images.
Medical image analysis
Aug 10, 2024
Deep learning has potential to automate screening, monitoring and grading of disease in medical images. Pretraining with contrastive learning enables models to extract robust and generalisable features from natural image datasets, facilitating label-...
Physics-informed deep generative learning for quantitative assessment of the retina.
Nature communications
Aug 10, 2024
Disruption of retinal vasculature is linked to various diseases, including diabetic retinopathy and macular degeneration, leading to vision loss. We present here a novel algorithmic approach that generates highly realistic digital models of human ret...
[Use of artificial intelligence for recognition of biomarkers in intermediate age-related macular degeneration].
Die Ophthalmologie
Jul 31, 2024
Advances in imaging and artificial intelligence (AI) have revolutionized the detection, quantification and monitoring for the clinical assessment of intermediate age-related macular degeneration (iAMD). The iAMD incorporates a broad spectrum of manif...
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