AIMC Topic: Tomography, Optical Coherence
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Multi-modal classification of retinal disease based on convolutional neural network.
Biomedical physics & engineering express
Jul 28, 2025
Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irreversible blindness without timely diagnosis and treatment. Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) imag...
Advances in machine learning for ABCA4-related retinopathy: segmentation and phenotyping.
International ophthalmology
Jul 23, 2025
PURPOSE: Stargardt disease, also called ABCA4-related retinopathy (ABCA4R), is the most common form of juvenile-onset macular dystrophy and yet lacks an FDA approved treatment. Substantial progress has been made through landmark studies like that of ...
Multimodal Optical Imaging Combined with Radiomic Analysis for Fibrotic Cardiac Tissue Investigation.
Analytical chemistry
Jul 5, 2025
Understanding the process of fibrotic scarring of the myocardium is critical for the diagnosis and risk stratification of life-threatening cardiac dysfunction. Complex changes in structure, composition, and conductivity occurring at different stages ...
Deep learning-based automated classification of choroidal layers in en face swept-source optical coherence tomography images.
BMC ophthalmology
Jul 1, 2025
BACKGROUND: This study aims to develop a deep learning-based algorithm dedicated to the automated classification of choroidal layers in en face swept-source optical coherence tomography (SS-OCT) images of the eye.
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...
France
Exudates and Transudates
Intravitreal Injections
Fluorescein Angiography
Wet Macular Degeneration
Antibodies, Bispecific
Subretinal Fluid
Visual Acuity
Tomography, Optical Coherence
Vascular Endothelial Growth Factor A
Drug Substitution
Male
Angiogenesis Inhibitors
Follow-Up Studies
Humans
Retrospective Studies
Artificial Intelligence
Female
Aged
Aged, 80 and over
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...
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