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retinal nerve fiber layer

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Retinal Nerve Fiber Layer Thickness at 36 Weeks May Help Predict 2-Year Neurodevelopment in Very Preterm Infants
Posted innews Ophthalmology Pediatrics

Retinal Nerve Fiber Layer Thickness at 36 Weeks May Help Predict 2-Year Neurodevelopment in Very Preterm Infants

Posted by MedXY By MedXY 06/08/2026
In very preterm infants, thicker retinal nerve fiber layer on OCT at 36 weeks’ postmenstrual age was associated with better motor and cognitive outcomes at 2 years, supporting retinal imaging as a potential early neurodevelopmental biomarker.
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Retinal OCT as an Early Window into Brain Development in Very Preterm Infants: Interpreting 36-Week Microanatomy for 2-Year Neurodevelopment
Posted inClinical Updates news

Retinal OCT as an Early Window into Brain Development in Very Preterm Infants: Interpreting 36-Week Microanatomy for 2-Year Neurodevelopment

Posted by MedXY By MedXY 06/08/2026
A new prospective cohort study suggests that retinal nerve fiber layer thickness on neonatal OCT at 36 weeks’ PMA may help predict 2-year motor and cognitive outcomes in very preterm infants.
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Progression in Preperimetric Glaucoma Eyes With and Without Microvasculature Dropout
Posted innews Ophthalmology

Progression in Preperimetric Glaucoma Eyes With and Without Microvasculature Dropout

Posted by MedXY By MedXY 06/02/2026
In preperimetric glaucoma, baseline microvasculature dropout on OCTA predicted faster capillary density loss and a higher risk of later visual field damage, suggesting it may help identify eyes needing closer follow-up.
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Deep Learning Predicts Glaucoma Risk via Retinal Nerve Fiber Layer Thickness from Ocular Hypertension Photographs
Posted inAI Ophthalmology Specialties

Deep Learning Predicts Glaucoma Risk via Retinal Nerve Fiber Layer Thickness from Ocular Hypertension Photographs

Posted by MedXY By MedXY 09/12/2025
Deep learning models predicting RNFL thickness from optic disc photographs can identify ocular hypertension patients at higher risk for primary open-angle glaucoma, enhancing early risk assessment and monitoring disease progression.
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