AIMC Topic: Fluorescein Angiography

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Deep learning-assisted analysis of biomarker changes after increase of dosing from aflibercept 2 mg to 8 mg in therapy-resistant neovascular age-related macular degeneration.

BMJ open ophthalmology Jun 1, 2025
PURPOSE: Age-related macular degeneration (AMD) remains the leading cause of blindness in developed countries. There are many different intravitreal anti-vascular endothelial growth factor (VEGF) drugs available for the treatment of neovascular AMD (...
Humans Biomarkers Retrospective Studies Dose-Response Relationship, Drug Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Intravitreal Injections Fluorescein Angiography Recombinant Fusion Proteins Wet Macular Degeneration Receptors, Vascular Endothelial Growth Factor Middle Aged Deep Learning Angiogenesis Inhibitors Female Treatment Outcome Aged Follow-Up Studies Aged, 80 and over Male
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GENERATIVE DEEP LEARNING APPROACH TO PREDICT POSTTREATMENT OPTICAL COHERENCE TOMOGRAPHY IMAGES OF AGE-RELATED MACULAR DEGENERATION AFTER 12 MONTHS.

Retina (Philadelphia, Pa.) Jun 1, 2025
PURPOSE: Predicting long-term anatomical responses in neovascular age-related macular degeneration patients is critical for patient-specific management. This study validates a generative deep learning model to predict 12-month posttreatment optical c...
Intravitreal Injections Aged, 80 and over Male Fluorescein Angiography Humans Deep Learning Macula Lutea Follow-Up Studies Retrospective Studies Time Factors Ranibizumab Angiogenesis Inhibitors Visual Acuity Wet Macular Degeneration Female Tomography, Optical Coherence Aged Fundus Oculi Vascular Endothelial Growth Factor A
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AUGUR-AIM: Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Apr 1, 2025
AIM: Recent randomized controlled trials and meta-analyses have demonstrated a reduction in the anastomotic leak rate when indocyanine green fluorescence angiography (ICGFA) is used versus when it is not in colorectal resections. We have previously d...
Humans Artificial Intelligence Algorithms Anastomotic Leak Fluorescein Angiography Prospective Studies Europe Multicenter Studies as Topic Coloring Agents Indocyanine Green
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RETINAL IMAGING ANALYSIS PERFORMED BY CHATGPT-4o AND GEMINI ADVANCED: The Turning Point of the Revolution?

Retina (Philadelphia, Pa.) Apr 1, 2025
PURPOSE: To assess the diagnostic capabilities of the most recent chatbots releases, GPT-4o and Gemini Advanced, facing different retinal diseases.
Retina Retinal Diseases Fluorescein Angiography Adult Humans Male Retrospective Studies Middle Aged Female Generative Artificial Intelligence Aged Tomography, Optical Coherence
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Artificial Intelligence Versus Rules-Based Approach for Segmenting NonPerfusion Area in a DRCR Retina Network Optical Coherence Tomography Angiography Dataset.

Investigative ophthalmology & visual science Mar 3, 2025
PURPOSE: Loss of retinal perfusion is associated with both onset and worsening of diabetic retinopathy (DR). Optical coherence tomography angiography is a noninvasive method for measuring the nonperfusion area (NPA) and has promise as a scalable scre...
Fluorescein Angiography Retinal Vessels Deep Learning ROC Curve Tomography, Optical Coherence Fundus Oculi Humans Diabetic Retinopathy Artificial Intelligence Algorithms Female Aged Adult Male Middle Aged
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A Meta-Learning Approach for Classifying Multimodal Retinal Images of Retinal Vein Occlusion With Limited Data.

Translational vision science & technology Sep 3, 2024
PURPOSE: To propose and validate a meta-learning approach for detecting retinal vein occlusion (RVO) from multimodal images with only a few samples.
Multimodal Imaging Area Under Curve Fundus Oculi Fluorescein Angiography Retinal Vein Occlusion Humans Algorithms Cross-Sectional Studies Deep Learning ROC Curve
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Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method.

Translational vision science & technology Sep 3, 2024
PURPOSE: We evaluated the features predicting visual acuity (VA) after one year in neovascular age-related macular degeneration (nAMD) patients.
Humans Machine Learning Retrospective Studies Female Intravitreal Injections Fluorescein Angiography Ranibizumab Wet Macular Degeneration Aged ROC Curve Aged, 80 and over Angiogenesis Inhibitors Male Visual Acuity Middle Aged Tomography, Optical Coherence Indocyanine Green
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ARTIFICIAL INTELLIGENCE-ENHANCED ANALYSIS OF RETINAL VASCULATURE IN AGE-RELATED MACULAR DEGENERATION.

Retina (Philadelphia, Pa.) Sep 1, 2024
PURPOSE: To investigate associations between quantitative vascular measurements derived from intravenous fluorescein angiography (IVFA) and baseline characteristics on optical coherence tomography (OCT) in neovascular age-related macular degeneration...
Fundus Oculi Fluorescein Angiography Male Wet Macular Degeneration Humans Middle Aged Retinal Vessels Visual Acuity Artificial Intelligence Blood-Retinal Barrier Tomography, Optical Coherence Prospective Studies Female Aged Aged, 80 and over
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Topographic Clinical Insights From Deep Learning-Based Geographic Atrophy Progression Prediction.

Translational vision science & technology Aug 1, 2024
PURPOSE: To explore the contributions of fundus autofluorescence (FAF) topographic imaging features to the performance of convolutional neural network-based deep learning (DL) algorithms in predicting geographic atrophy (GA) growth rate.
Clinical Trials as Topic Humans Optical Imaging Fluorescein Angiography Neural Networks, Computer Geographic Atrophy Algorithms Retrospective Studies Male Female Middle Aged Aged Disease Progression Deep Learning
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DEEP LEARNING FOR AUTOMATIC PREDICTION OF EARLY ACTIVATION OF TREATMENT-NAIVE NONEXUDATIVE MACULAR NEOVASCULARIZATIONS IN AGE-RELATED MACULAR DEGENERATION.

Retina (Philadelphia, Pa.) Aug 1, 2024
BACKGROUND: Around 30% of nonexudative macular neovascularizations exudate within 2 years from diagnosis in patients with age-related macular degeneration. The aim of this study is to develop a deep learning classifier based on optical coherence tomo...
Humans Fluorescein Angiography Deep Learning Macula Lutea Follow-Up Studies Wet Macular Degeneration Retrospective Studies Visual Acuity Retinal Neovascularization Tomography, Optical Coherence Female Fundus Oculi Aged Aged, 80 and over Male
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