AIMC Topic: Retinal Drusen

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Characterization of Drusen and Hyperreflective Foci as Biomarkers for Disease Progression in Age-Related Macular Degeneration Using Artificial Intelligence in Optical Coherence Tomography.

JAMA ophthalmology Jul 1, 2020
IMPORTANCE: The morphologic changes and their pathognomonic distribution in progressing age-related macular degeneration (AMD) are not well understood.
Humans Artificial Intelligence Retina Macular Degeneration Tomography, Optical Coherence Fundus Oculi Ranibizumab Retinal Drusen Intravitreal Injections Fluorescein Angiography Male Disease Progression Angiogenesis Inhibitors Follow-Up Studies Aged Aged, 80 and over Prognosis Female
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Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence.

Investigative ophthalmology & visual science Jul 2, 2018
PURPOSE: While millions of individuals show early age-related macular degeneration (AMD) signs, yet have excellent vision, the risk of progression to advanced AMD with legal blindness is highly variable. We suggest means of artificial intelligence to...
Wet Macular Degeneration Retinal Drusen Double-Blind Method Image Interpretation, Computer-Assisted Choroidal Neovascularization Geographic Atrophy Male Middle Aged Disease Progression Tomography, Optical Coherence Aged Humans Aged, 80 and over Artificial Intelligence Female Machine Learning Prospective Studies
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Automated System for Referral of Cotton-Wool Spots.

Current diabetes reviews Jan 1, 2018
BACKGROUND: Cotton-wool spots also referred as soft exudates are the early signs of complications in the eye fundus of the patients suffering from diabetic retinopathy. Early detection of exudates helps in the diagnosis of the disease and provides be...
ROC Curve Fundus Oculi Image Interpretation, Computer-Assisted Pattern Recognition, Automated Retinal Drusen Artificial Intelligence Humans Retinal Vessels Sensitivity and Specificity Exudates and Transudates Diabetic Retinopathy Photography
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Machine Learning of the Progression of Intermediate Age-Related Macular Degeneration Based on OCT Imaging.

Investigative ophthalmology & visual science May 1, 2017
PURPOSE: To develop a data-driven interpretable predictive model of incoming drusen regression as a sign of disease activity and identify optical coherence tomography (OCT) biomarkers associated with its risk in intermediate age-related macular degen...
Disease Progression Predictive Value of Tests Male Middle Aged Biomarkers Macular Degeneration Female Retinal Drusen Aged Machine Learning Area Under Curve Humans Aged, 80 and over Prospective Studies Tomography, Optical Coherence
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