AIMC Topic: Macular Degeneration
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[Use of artificial intelligence in geographic atrophy in age-related macular degeneration].
Die Ophthalmologie
Jul 31, 2024
The first regulatory approval of treatment for geographic atrophy (GA) secondary to age-related macular degeneration in the USA constitutes an important milestone; however, due to the nature of GA as a non-acute, insidiously progressing pathology, th...
Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography.
Medical image analysis
Jun 27, 2024
Deep learning classification models for medical image analysis often perform well on data from scanners that were used to acquire the training data. However, when these models are applied to data from different vendors, their performance tends to dro...
Deep Learning in Neovascular Age-Related Macular Degeneration.
Medicina (Kaunas, Lithuania)
Jun 17, 2024
: Age-related macular degeneration (AMD) is a complex and multifactorial condition that can lead to permanent vision loss once it progresses to the neovascular exudative stage. This review aims to summarize the use of deep learning in neovascular AMD...
Stitched vision transformer for age-related macular degeneration detection using retinal optical coherence tomography images.
PloS one
Jun 5, 2024
Age-related macular degeneration (AMD) is an eye disease that leads to the deterioration of the central vision area of the eye and can gradually result in vision loss in elderly individuals. Early identification of this disease can significantly impa...
A deep learning approach to explore the association of age-related macular degeneration polygenic risk score with retinal optical coherence tomography: A preliminary study.
Acta ophthalmologica
May 18, 2024
PURPOSE: Age-related macular degeneration (AMD) is a complex eye disorder affecting millions worldwide. This article uses deep learning techniques to investigate the relationship between AMD, genetics and optical coherence tomography (OCT) scans.
Metabolomics facilitates differential diagnosis in common inherited retinal degenerations by exploring their profiles of serum metabolites.
Nature communications
Apr 26, 2024
The diagnosis of inherited retinal degeneration (IRD) is challenging owing to its phenotypic and genotypic complexity. Clinical information is important before a genetic diagnosis is made. Metabolomics studies the entire picture of bioproducts, which...
A new intelligent system based deep learning to detect DME and AMD in OCT images.
International ophthalmology
Apr 23, 2024
Optical Coherence Tomography (OCT) is widely recognized as the leading modality for assessing ocular retinal diseases, playing a crucial role in diagnosing retinopathy while maintaining a non-invasive modality. The increasing volume of OCT images und...
Artificial Intelligence (AI) for Early Diagnosis of Retinal Diseases.
Medicina (Kaunas, Lithuania)
Mar 23, 2024
Artificial intelligence (AI) has emerged as a transformative tool in the field of ophthalmology, revolutionizing disease diagnosis and management. This paper provides a comprehensive overview of AI applications in various retinal diseases, highlighti...
Artificial intelligence in age-related macular degeneration: state of the art and recent updates.
BMC ophthalmology
Mar 15, 2024
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 technologies have shown great potential to revolutionize clinical manag...
Ensemble of deep convolutional neural networks is more accurate and reliable than board-certified ophthalmologists at detecting multiple diseases in retinal fundus photographs.
The British journal of ophthalmology
Feb 21, 2024
AIMS: To develop an algorithm to classify multiple retinal pathologies accurately and reliably from fundus photographs and to validate its performance against human experts.
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