AIMC Topic: Blood-Retinal Barrier

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Artificial intelligence-based extraction of quantitative ultra-widefield fluorescein angiography parameters in retinal vein occlusion.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie Aug 31, 2024
OBJECTIVE: To examine the association between quantitative vascular parameters extracted from intravenous fluorescein angiography (IVFA) and baseline clinical characteristics of patients with retinal vein occlusion (RVO).
Humans Artificial Intelligence Prospective Studies Female Aged Male Middle Aged Follow-Up Studies Visual Acuity Tomography, Optical Coherence Fundus Oculi Macular Edema Fluorescein Angiography Macula Lutea Retinal Vein Occlusion Blood-Retinal Barrier
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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...
Humans Artificial Intelligence Prospective Studies Female Aged Aged, 80 and over Male Middle Aged Visual Acuity Tomography, Optical Coherence Fundus Oculi Fluorescein Angiography Wet Macular Degeneration Retinal Vessels Blood-Retinal Barrier
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