Intravitreal Injections

Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning.

Ophthalmology. Retina 33516917

PURPOSE: To evaluate the predictive usefulness of quantitative imaging biomarkers, acquired automatically from OCT scans, of cross-sectional and future visual outcomes of patients with neovascular age-related macular degeneration (AMD) starting anti-...

Aged Aged, 80 and over Angiogenesis Inhibitors Cross-Sectional Studies Deep Learning Female Follow-Up Studies Humans Intravitreal Injections Male Middle Aged Prognosis Ranibizumab Retrospective Studies Tomography, Optical Coherence Vascular Endothelial Growth Factor A Visual Acuity Wet Macular Degeneration

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Subfoveal choroidal thickness changes after intravitreal ranibizumab injections in different patterns of diabetic macular edema using a deep learning-based auto-segmentation.

International ophthalmology 33783677

PURPOSE: To evaluate the effect of intravitreal injection of ranibizumab (IVR) on subfoveal choroidal thickness (SFCT) and its relationship with central macular thickness (CMT) and best-corrected visual acuity (BCVA) changes in eyes with center-invol...

Angiogenesis Inhibitors Choroid Deep Learning Diabetes Mellitus Diabetic Retinopathy Humans Intravitreal Injections Macular Edema Prospective Studies Ranibizumab Retinal Detachment Retrospective Studies Tomography, Optical Coherence

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Machine Learning Can Predict Anti-VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular Edema.

Ophthalmology. Retina 33971352

PURPOSE: To assess the potential of machine learning to predict low and high treatment demand in real life in patients with neovascular age-related macular degeneration (nAMD), retinal vein occlusion (RVO), and diabetic macular edema (DME) treated ac...

Aged Aged, 80 and over Angiogenesis Inhibitors Diabetic Retinopathy Female Follow-Up Studies Humans Intravitreal Injections Machine Learning Macular Edema Male Middle Aged Prognosis Ranibizumab Retinal Vein Occlusion Retrospective Studies Vascular Endothelial Growth Factor A Wet Macular Degeneration

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IMPACT OF RESIDUAL SUBRETINAL FLUID VOLUMES ON TREATMENT OUTCOMES IN A SUBRETINAL FLUID-TOLERANT TREAT-AND-EXTEND REGIMEN.

Retina (Philadelphia, Pa.) 33830960

PURPOSE: To investigate associations between residual subretinal fluid (rSRF) volumes, quantified using artificial intelligence and treatment outcomes in a subretinal fluid (SRF)-tolerant treat-and-extend (T&E) regimen in neovascular age-related macu...

Angiogenesis Inhibitors Artificial Intelligence Drug Tolerance Fluorescein Angiography Follow-Up Studies Fundus Oculi Humans Intravitreal Injections Prospective Studies Ranibizumab Subretinal Fluid Tomography, Optical Coherence Treatment Outcome Vascular Endothelial Growth Factor A Visual Acuity Wet Macular Degeneration

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Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study.

PloS one 35157713

PURPOSE: To evaluate the predictive ability of a deep learning-based algorithm to determine long-term best-corrected distance visual acuity (BCVA) outcomes in neovascular age-related macular degeneration (nARMD) patients using baseline swept-source o...

Adult Deep Learning Humans Intravitreal Injections Macular Degeneration Proof of Concept Study Receptors, Vascular Endothelial Growth Factor Recombinant Fusion Proteins Retina Retinal Detachment Retrospective Studies Subretinal Fluid Tomography, Optical Coherence Visual Acuity

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Therapeutic response in the HAWK and HARRIER trials using deep learning in retinal fluid volume and compartment analysis.

Eye (London, England) 35523860

OBJECTIVES: To assess the therapeutic response to brolucizumab and aflibercept by deep learning/OCT-based analysis of macular fluid volumes in neovascular age-related macular degeneration.

Angiogenesis Inhibitors Deep Learning Humans Intravitreal Injections Ranibizumab Retinal Detachment Subretinal Fluid Tomography, Optical Coherence Vascular Endothelial Growth Factor A Wet Macular Degeneration

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Correlation of vascular and fluid-related parameters in neovascular age-related macular degeneration using deep learning.

Acta ophthalmologica 35912717

PURPOSE: To identify correlations between the vascular characteristics of macular neovascularization (MNV) obtained by optical coherence tomography angiography (OCTA) and distinct retinal fluid volumes in neovascular age-related macular degeneration ...

Angiogenesis Inhibitors Deep Learning Fluorescein Angiography Humans Intravitreal Injections Macular Degeneration Prospective Studies Tomography, Optical Coherence Vascular Endothelial Growth Factor A Wet Macular Degeneration

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Performance of retinal fluid monitoring in OCT imaging by automated deep learning versus human expert grading in neovascular AMD.

Eye (London, England) 37311835

PURPOSE: To evaluate the reliability of automated fluid detection in identifying retinal fluid activity in OCT scans of patients treated with anti-VEGF therapy for neovascular age-related macular degeneration by correlating human expert and automated...

Angiogenesis Inhibitors Deep Learning Humans Intravitreal Injections Reproducibility of Results Subretinal Fluid Tomography, Optical Coherence Vascular Endothelial Growth Factor A Visual Acuity Wet Macular Degeneration

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Deep-learning based automated quantification of critical optical coherence tomography features in neovascular age-related macular degeneration.

Eye (London, England) 37670143

PURPOSE: To validate a deep learning algorithm for automated intraretinal fluid (IRF), subretinal fluid (SRF) and neovascular pigment epithelium detachment (nPED) segmentations in neovascular age-related macular degeneration (nAMD).

Angiogenesis Inhibitors Deep Learning Humans Intravitreal Injections Macular Degeneration Ranibizumab Retinal Detachment Retrospective Studies Subretinal Fluid Tomography, Optical Coherence Wet Macular Degeneration

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Approved AI-based fluid monitoring to identify morphological and functional treatment outcomes in neovascular age-related macular degeneration in real-world routine.

The British journal of ophthalmology 37775259

AIM: To predict antivascular endothelial growth factor (VEGF) treatment requirements, visual acuity and morphological outcomes in neovascular age-related macular degeneration (nAMD) using fluid quantification by artificial intelligence (AI) in a real...

Aged Aged, 80 and over Angiogenesis Inhibitors Artificial Intelligence Female Follow-Up Studies Humans Intravitreal Injections Male Ranibizumab Retrospective Studies Subretinal Fluid Tomography, Optical Coherence Treatment Outcome Vascular Endothelial Growth Factor A Visual Acuity Wet Macular Degeneration

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Explore the latest research on artificial intelligence and machine learning in medicine.

Predicting Incremental and Future Visual Change in Neovascular Age-Related Macular Degeneration Using Deep Learning.

Subfoveal choroidal thickness changes after intravitreal ranibizumab injections in different patterns of diabetic macular edema using a deep learning-based auto-segmentation.

Machine Learning Can Predict Anti-VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular Edema.

IMPACT OF RESIDUAL SUBRETINAL FLUID VOLUMES ON TREATMENT OUTCOMES IN A SUBRETINAL FLUID-TOLERANT TREAT-AND-EXTEND REGIMEN.

Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study.

Therapeutic response in the HAWK and HARRIER trials using deep learning in retinal fluid volume and compartment analysis.

Correlation of vascular and fluid-related parameters in neovascular age-related macular degeneration using deep learning.

Performance of retinal fluid monitoring in OCT imaging by automated deep learning versus human expert grading in neovascular AMD.

Deep-learning based automated quantification of critical optical coherence tomography features in neovascular age-related macular degeneration.

Approved AI-based fluid monitoring to identify morphological and functional treatment outcomes in neovascular age-related macular degeneration in real-world routine.

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