AIMC Topic: Macular Edema
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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...
Predicting Visual Acuity after Retinal Vein Occlusion Anti-VEGF Treatment: Development and Validation of an Interpretable Machine Learning Model.
Journal of medical systems
Apr 29, 2025
Accurate prediction of post-treatment visual acuity in macular edema secondary to retinal vein occlusion (RVO-ME) is critical for optimizing anti-VEGF therapy and improving clinical outcomes. While machine learning (ML) has shown promise in ophthalmi...
Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema.
Scientific reports
Apr 18, 2025
This study aimed to identify distinct clusters of diabetic macular edema (DME) patients with differential anti-vascular endothelial growth factor (VEGF) treatment outcomes using an unsupervised machine learning (ML) approach based on radiomic feature...
Humans
Diabetic Retinopathy
Male
Middle Aged
Angiogenesis Inhibitors
Treatment Outcome
Retrospective Studies
Female
Aged
Radiomics
Principal Component Analysis
Tomography, Optical Coherence
Macular Edema
Cluster Analysis
Vascular Endothelial Growth Factor A
Unsupervised Machine Learning
Visual Acuity
Detection of diabetic macular oedema patterns with fine-grained image categorisation on optical coherence tomography.
BMJ open ophthalmology
Apr 15, 2025
PURPOSE: To develop an artificial intelligence (AI) system for detecting pathological patterns of diabetic macular oedema (DME) with fine-grained image categorisation using optical coherence tomography (OCT) images.
EFCNet enhances the efficiency of segmenting clinically significant small medical objects.
Scientific reports
Apr 14, 2025
Efficient segmentation of small hyperreflective dots, key biomarkers for diseases like macular edema, is critical for diagnosis and treatment monitoring.However, existing models, including Convolutional Neural Networks (CNNs) and Transformers, strugg...
Performance of a Deep Learning Diabetic Retinopathy Algorithm in India.
JAMA network open
Mar 3, 2025
IMPORTANCE: While prospective studies have investigated the accuracy of artificial intelligence (AI) for detection of diabetic retinopathy (DR) and diabetic macular edema (DME), to date, little published data exist on the clinical performance of thes...
Use of a Convolutional Neural Network to Predict the Response of Diabetic Macular Edema to Intravitreal Anti-VEGF Treatment: A Pilot Study.
American journal of ophthalmology
Feb 20, 2025
PURPOSE: To utilize a convolutional neural network (CNN) to predict the response of treatment-naïve diabetic macular edema (DME) to a single injection of anti-vascular endothelial growth factor (anti-VEGF) with data from optical coherence tomography ...
Retrospective Studies
Female
Aged
Male
Treatment Outcome
Humans
Follow-Up Studies
Diabetic Retinopathy
Middle Aged
Visual Acuity
Neural Networks, Computer
Convolutional Neural Networks
Ranibizumab
Tomography, Optical Coherence
Pilot Projects
Macular Edema
Bevacizumab
Angiogenesis Inhibitors
Vascular Endothelial Growth Factor A
Intravitreal Injections
Reinforcement-based leveraging transfer learning for multiclass optical coherence tomography images classification.
Scientific reports
Feb 20, 2025
The accurate diagnosis of retinal diseases, such as Diabetic Macular Edema (DME) and Age-related Macular Degeneration (AMD), is essential for preventing vision loss. Optical Coherence Tomography (OCT) imaging plays a crucial role in identifying these...
Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema.
Scientific reports
Feb 7, 2025
Diabetic Macular Edema (DME) is a major complication of diabetic retinopathy characterized by fluid accumulation in the macula, leading to vision impairment. The standard treatment involves anti-VEGF (Vascular Endothelial Growth Factor) therapy, but ...
Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence.
JAMA network open
Jan 2, 2025
IMPORTANCE: Determining spectacle-corrected visual acuity (VA) is essential when managing many ophthalmic diseases. If artificial intelligence (AI) evaluations of macular images estimated this VA from a fundus image, AI might provide spectacle-correc...
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