AI Medical Compendium Journal:
Eye (London, England)

Showing 41 to 50 of 67 articles

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

Eye (London, England) Jun 13, 2023
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...
Deep Learning Angiogenesis Inhibitors Visual Acuity Humans Reproducibility of Results Intravitreal Injections Wet Macular Degeneration Subretinal Fluid Tomography, Optical Coherence Vascular Endothelial Growth Factor A
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GPT-4 for triaging ophthalmic symptoms.

Eye (London, England) May 25, 2023
Artificial Intelligence Eye Diseases Humans
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Appropriateness of ophthalmic symptoms triage by a popular online artificial intelligence chatbot.

Eye (London, England) Apr 29, 2023
Software Humans Triage Artificial Intelligence
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Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity.

Eye (London, England) Feb 1, 2023
Retrospective Studies Infant, Newborn Deep Learning Humans Infant, Premature Gestational Age Angiography Treatment Outcome Lasers Retinopathy of Prematurity Laser Coagulation
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Response to: 'Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity'.

Eye (London, England) Jan 21, 2023
Laser Coagulation Lasers Infant, Premature Angiography Retinopathy of Prematurity Gestational Age Deep Learning Treatment Outcome Retrospective Studies Infant, Newborn Humans
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Advances in machine learning to detect preventable causes of blindness.

Eye (London, England) Dec 10, 2022
Humans Machine Learning Blindness Visual Acuity
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Current uses of artificial intelligence in the analysis of biofluid markers involved in corneal and ocular surface diseases: a systematic review.

Eye (London, England) Nov 15, 2022
Corneal and ocular surface diseases (OSDs) carry significant psychosocial and economic burden worldwide. We set out to review the literature on the application of artificial intelligence (AI) and bioinformatics for analysis of biofluid biomarkers in ...
Humans Proteomics Tears Artificial Intelligence Dry Eye Syndromes Cornea
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Segmentation of macular neovascularization and leakage in fluorescein angiography images in neovascular age-related macular degeneration using deep learning.

Eye (London, England) Jul 1, 2022
BACKGROUND/OBJECTIVES: We aim to develop an objective fully automated Artificial intelligence (AI) algorithm for MNV lesion size and leakage area segmentation on fluorescein angiography (FA) in patients with neovascular age-related macular degenerati...
Deep Learning Macular Degeneration Choroidal Neovascularization Fluorescein Angiography Artificial Intelligence Prospective Studies Humans
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A deep learning model established for evaluating lid margin signs with colour anterior segment photography.

Eye (London, England) Jun 23, 2022
OBJECTIVES: To evaluate the feasibility of applying a deep learning model to identify lid margin signs from colour anterior segment photography.
Artificial Intelligence Meibomian Glands Deep Learning Photography Humans Color Dry Eye Syndromes Magnesium Oxide Eyelid Diseases
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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) May 6, 2022
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.
Retinal Detachment Vascular Endothelial Growth Factor A Angiogenesis Inhibitors Humans Wet Macular Degeneration Intravitreal Injections Tomography, Optical Coherence Deep Learning Subretinal Fluid Ranibizumab
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