AIMC Topic: Tomography, Optical Coherence

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Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictions.

Scientific reports Nov 5, 2024
Self-supervised learning has become the cornerstone of building generalizable and transferable artificial intelligence systems in medical imaging. In particular, contrastive representation learning techniques trained on large multi-modal datasets hav...
Humans Artificial Intelligence Image Processing, Computer-Assisted Multimodal Imaging Tomography, Optical Coherence Fundus Oculi Retina Supervised Machine Learning
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Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI: The FLASH Trial.

JACC. Cardiovascular interventions Oct 30, 2024
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor.
Time Factors Humans Treatment Outcome Image Interpretation, Computer-Assisted Aged Coronary Angiography Artificial Intelligence Automation Male Percutaneous Coronary Intervention Predictive Value of Tests Coronary Vessels Prospective Studies Middle Aged Coronary Artery Disease Tomography, Optical Coherence Republic of Korea Stents Female
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Prediction of fellow eye neovascularization in type 3 macular neovascularization (Retinal angiomatous proliferation) using deep learning.

PloS one Oct 30, 2024
PURPOSE: To establish a deep learning artificial intelligence model to predict the risk of long-term fellow eye neovascularization in unilateral type 3 macular neovascularization (MNV).
ROC Curve Aged Humans Male Tomography, Optical Coherence Retrospective Studies Middle Aged Retinal Neovascularization Female Deep Learning
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Self-supervised based clustering for retinal optical coherence tomography images.

Eye (London, England) Oct 28, 2024
BACKGROUND: In response to the inadequacy of manual analysis in meeting the rising demand for retinal optical coherence tomography (OCT) images, a self-supervised learning-based clustering model was implemented.
Macular Edema Retinal Drusen Choroidal Neovascularization Humans Diabetic Retinopathy Cluster Analysis Tomography, Optical Coherence Retina Supervised Machine Learning
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Deep Learning With Optical Coherence Tomography for Melanoma Identification and Risk Prediction.

Journal of biophotonics Oct 27, 2024
Malignant melanoma is the most severe skin cancer with a rising incidence rate. Several noninvasive image techniques and computer-aided diagnosis systems have been developed to help find melanoma in its early stages. However, most previous research u...
Tomography, Optical Coherence Melanoma Risk Assessment Skin Neoplasms Deep Learning Animals Image Processing, Computer-Assisted Mice
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Detection of Macular Neovascularization in Eyes Presenting with Macular Edema using OCT Angiography and a Deep Learning Model.

Ophthalmology. Retina Oct 24, 2024
PURPOSE: To test the diagnostic performance of an artificial intelligence algorithm for detecting and segmenting macular neovascularization (MNV) with OCT and OCT angiography (OCTA) in eyes with macular edema from various diagnoses.
Diabetic Retinopathy Algorithms Prospective Studies Female Humans Middle Aged Deep Learning Visual Acuity Tomography, Optical Coherence Aged Aged, 80 and over Cross-Sectional Studies Male Fundus Oculi Macula Lutea Macular Edema Retinal Neovascularization Fluorescein Angiography Retinal Vein Occlusion
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GO-MAE: Self-supervised pre-training via masked autoencoder for OCT image classification of gynecology.

Neural networks : the official journal of the International Neural Network Society Oct 18, 2024
Genitourinary syndrome of menopause (GSM) is a physiological disorder caused by reduced levels of oestrogen in menopausal women. Gradually, its symptoms worsen with age and prolonged menopausal status, which gravely impacts the quality of life as wel...
Female Urogenital Diseases Image Processing, Computer-Assisted Tomography, Optical Coherence Supervised Machine Learning Humans Menopause Neural Networks, Computer Algorithms Female
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Privacy-Preserving Technology Using Federated Learning and Blockchain in Protecting against Adversarial Attacks for Retinal Imaging.

Ophthalmology Oct 16, 2024
PURPOSE: Collaboration provides valuable data for robust artificial intelligence (AI) model development. Federated learning (FL) is a privacy-enhancing technology that allows collaboration while respecting privacy via the development of models withou...
Federated Learning Artificial Intelligence Retrospective Studies Tomography, Optical Coherence Retina Privacy Macular Degeneration Computer Security Humans Blockchain
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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 (...
Atrophy Subretinal Fluid Vascular Endothelial Growth Factor A Intravitreal Injections Ranibizumab Wet Macular Degeneration Visual Acuity Tomography, Optical Coherence Retina Humans Artificial Intelligence Female Aged Aged, 80 and over Male Angiogenesis Inhibitors
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Radial polarisation patterns identify macular damage: a machine learning approach.

Clinical & experimental optometry Oct 7, 2024
CLINICAL RELEVANCE: Identifying polarisation-modulated patterns may be an effective method for both detecting and monitoring macular damage.
Female Aged Aged, 80 and over Cross-Sectional Studies Humans Diabetic Retinopathy Machine Learning Tomography, Optical Coherence Male Bayes Theorem Middle Aged Macula Lutea ROC Curve Epiretinal Membrane Visual Acuity
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