AIMC Topic: Tomography, Optical Coherence
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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...
Intravitreal Injections
Fluorescein Angiography
Wet Macular Degeneration
Antibodies, Bispecific
Drug Substitution
France
Exudates and Transudates
Subretinal Fluid
Retrospective Studies
Aged, 80 and over
Female
Male
Aged
Angiogenesis Inhibitors
Humans
Tomography, Optical Coherence
Artificial Intelligence
Vascular Endothelial Growth Factor A
Follow-Up Studies
Visual Acuity
A plaque recognition algorithm for coronary OCT images by Dense Atrous Convolution and attention mechanism.
PloS one
Jun 10, 2025
Currently, plaque segmentation in Optical Coherence Tomography (OCT) images of coronary arteries is primarily carried out manually by physicians, and the accuracy of existing automatic segmentation techniques needs further improvement. To furnish eff...
Investigation of Short-term Crystalline Lens Positional Shifts Following ICL Implantation Using SS-OCT Integrated With Multi-task Deep Learning.
Journal of refractive surgery (Thorofare, N.J. : 1995)
Jun 1, 2025
PURPOSE: To investigate the tilt and decentration of the crystalline lens shortly after Implantable Collamer Lens (ICL) implantation.
Evaluating anti-VEGF responses in diabetic macular edema: A systematic review with AI-powered treatment insights.
Indian journal of ophthalmology
May 28, 2025
Recent advances in deep learning and machine learning have greatly increased the capabilities of extracting features for evaluating the response to anti VEGF treatment in patients with Diabetic Macular Edema (DME). In this review, we explore how thes...
iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.
JCI insight
May 22, 2025
Dry age-related macular degeneration (AMD) is a leading cause of untreatable vision loss. In advanced cases, retinal pigment epithelium (RPE) cell loss occurs alongside photoreceptor and choriocapillaris degeneration. We hypothesized that an RPE-patc...
Residual self-attention vision transformer for detecting acquired vitelliform lesions and age-related macular drusen.
Scientific reports
May 16, 2025
Retinal diseases recognition is still a challenging task. Many deep learning classification methods and their modifications have been developed for medical imaging. Recently, Vision Transformers (ViT) have been applied for classification of retinal d...
Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.
Journal of biomedical optics
May 8, 2025
SIGNIFICANCE: Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in optical coherence tomography angiography (OCTA) can significantly improve early detection and monitoring of diabetic retinopathy (DR), a leading cause ...
Enhanced glaucoma classification through advanced segmentation by integrating cup-to-disc ratio and neuro-retinal rim features.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 28, 2025
Glaucoma is a progressive eye condition caused by high intraocular fluid pressure, damaging the optic nerve, leading to gradual, irreversible vision loss, often without noticeable symptoms. Subtle signs like mild eye redness, slightly blurred vision,...
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...
Automated learning of glaucomatous visual fields from OCT images using a comprehensive, segmentation-free 3D convolutional neural network model.
Scientific reports
Apr 18, 2025
A segmentation-free 3D Convolutional Neural Network (3DCNN) model was adopted to estimate Visual Field (VF) in glaucoma cases using Optical Coherence Tomography (OCT) images. This study, conducted at a university hospital, included 6335 participants ...
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