AIMC Topic: Wet Macular Degeneration

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Real-world faricimab switch in France: artificial intelligence-based detection of changes in exudative signs in difficult-to-treat neovascular age-related macular degeneration.

BMJ open ophthalmology Jun 23, 2025
PURPOSE: Some patients with neovascular age-related macular degeneration (nAMD) have persistent signs of exudation under treatment with intravitreal injections of anti-vascular endothelial growth factor (VEGF) agents. We examined the real-world anato...
Male Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Tomography, Optical Coherence Humans Retrospective Studies Artificial Intelligence Female Aged Aged, 80 and over Intravitreal Injections Fluorescein Angiography Vascular Endothelial Growth Factor A Wet Macular Degeneration Drug Substitution Antibodies, Bispecific France Subretinal Fluid Exudates and Transudates
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Updates on novel and traditional OCT and OCTA biomarkers in nAMD.

Eye (London, England) Apr 19, 2025
Predictivity of optical coherence tomography (OCT) examination for the development of neovascular age-related macular degeneration (nAMD) was demonstrated to be superior compared to other methods, suggesting it as an elective method for screening pur...
Humans Biomarkers Prognosis Tomography, Optical Coherence Fluorescein Angiography Wet Macular Degeneration
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Retinal fluid quantification using a novel deep learning algorithm in patients treated with faricimab in the TRUCKEE study.

Eye (London, England) Dec 11, 2024
BACKGROUND: Investigate retinal fluid changes via a novel deep-learning algorithm in real-world patients receiving faricimab for the treatment of neovascular age-related macular degeneration (nAMD).
Angiogenesis Inhibitors Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Intravitreal Injections Aged, 80 and over Male Middle Aged Deep Learning Wet Macular Degeneration Antibodies, Bispecific Subretinal Fluid Humans Algorithms Retrospective Studies Female Aged
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Artificial intelligence-based analysis of retinal fluid volume dynamics in neovascular age-related macular degeneration and association with vision and atrophy.

Eye (London, England) Oct 15, 2024
BACKGROUND/OBJECTIVES: To characterise morphological changes in neovascular age-related macular degeneration (nAMD) during anti-angiogenic therapy and explore relationships with best-corrected visual acuity (BCVA) and development of macular atrophy (...
Artificial Intelligence Female Aged Aged, 80 and over Male Humans Subretinal Fluid Angiogenesis Inhibitors Visual Acuity Vascular Endothelial Growth Factor A Tomography, Optical Coherence Intravitreal Injections Retina Ranibizumab Wet Macular Degeneration Atrophy
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Validation of a deep learning model for automatic detection and quantification of five OCT critical retinal features associated with neovascular age-related macular degeneration.

The British journal of ophthalmology Sep 20, 2024
PURPOSE: To develop and validate a deep learning model for the segmentation of five retinal biomarkers associated with neovascular age-related macular degeneration (nAMD).
Retina Wet Macular Degeneration Retinal Drusen Subretinal Fluid Male Deep Learning ROC Curve Area Under Curve Tomography, Optical Coherence Humans Female Aged Aged, 80 and over
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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...
Male Deep Learning Angiogenesis Inhibitors Tomography, Optical Coherence Vascular Endothelial Growth Factor A Macular Degeneration Fluorescein Angiography Wet Macular Degeneration Choroidal Neovascularization Humans Artificial Intelligence Female Aged Aged, 80 and over
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Approved AI-based fluid monitoring to identify morphological and functional treatment outcomes in neovascular age-related macular degeneration in real-world routine.

The British journal of ophthalmology Jun 20, 2024
AIM: To predict antivascular endothelial growth factor (VEGF) treatment requirements, visual acuity and morphological outcomes in neovascular age-related macular degeneration (nAMD) using fluid quantification by artificial intelligence (AI) in a real...
Aged Aged, 80 and over Male Angiogenesis Inhibitors Treatment Outcome Follow-Up Studies Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Humans Artificial Intelligence Retrospective Studies Female Intravitreal Injections Ranibizumab Wet Macular Degeneration Subretinal Fluid
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Evaluation of choroid vascular layer thickness in wet age-related macular degeneration using artificial intelligence.

Photodiagnosis and photodynamic therapy May 21, 2024
PURPOSE: To facilitate the assessment of choroid vascular layer thickness in patients with wet age-related macular degeneration (AMD) using artificial intelligence (AI).
Wet Macular Degeneration Middle Aged Case-Control Studies Choroid Tomography, Optical Coherence Artificial Intelligence Female Aged Aged, 80 and over Male Humans
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Suitability of machine learning for atrophy and fibrosis development in neovascular age-related macular degeneration.

Acta ophthalmologica Dec 22, 2023
PURPOSE: To assess the suitability of machine learning (ML) techniques in predicting the development of fibrosis and atrophy in patients with neovascular age-related macular degeneration (nAMD), receiving anti-VEGF treatment over a 36-month period.
Atrophy Visual Acuity Aged Fibrosis Tomography, Optical Coherence Aged, 80 and over Humans Intravitreal Injections Fundus Oculi Male Fluorescein Angiography Machine Learning Angiogenesis Inhibitors Vascular Endothelial Growth Factor A Ranibizumab Retrospective Studies Follow-Up Studies Wet Macular Degeneration Female
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Preliminary analysis of predicting the first recurrence in patients with neovascular age-related macular degeneration using deep learning.

BMC ophthalmology Dec 7, 2023
BACKGROUND: To predict, using deep learning, the first recurrence in patients with neovascular age-related macular degeneration (nAMD) after three monthly loading injections of intravitreal anti-vascular endothelial growth factor (anti-VEGF).
Tomography, Optical Coherence Retina Vascular Endothelial Growth Factor A Humans Macular Degeneration Ranibizumab Intravitreal Injections Deep Learning Wet Macular Degeneration Subretinal Fluid Angiogenesis Inhibitors
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