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ARVO Annual Meeting Abstract June 2022

A framework for automating psychosocial distress screening in ophthalmology clinics using an EHR-derived AI algorithm

Samuel Berchuck; Alessandro A Jammal; Kevin Weinfurt; David Page; Tamara Somers; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2145 – A0173. doi:

ARVO Annual Meeting Abstract June 2022

The Effect of Intraocular Pressure on Rates of Visual Field Loss in Eyes with Optic Nerve Drusen

Tais Estrela; Alessandro A. Jammal; Mays El-Dairi; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):1582 – A0371. doi:

ARVO Annual Meeting Abstract June 2022

Assessing the relationship between contrast sensitivity and lower extremity function in the Brain Networks and Mobility Function (B-NET) study

Atalie C. Thompson; Michael E Miller; Jeff D. Williamson; Christina E Hugenschmidt; Felipe A Medeiros; Paul Laurienti; Steve Kritchevsky

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2262 – F0470. doi:

Articles February 2022

Rates of Glaucoma Progression Derived from Linear Mixed Models Using Varied Random Effect Distributions

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Swarup S. Swaminathan; Samuel I. Berchuck; Alessandro A. Jammal; J. Sunil Rao; Felipe A. Medeiros
TAGS: eye, glaucoma, visual fields
Trans. Vis. Sci. Tech.. 2022; 11(2):16. doi: https://doi.org/10.1167/tvst.11.2.16

ARVO Annual Meeting Abstract June 2021

Rapid initial OCT RNFL thinning is predictive of large visual field loss during extended follow-up in glaucoma

Swarup Sai Swaminathan; Alessandro A Jammal; Samuel Berchuck; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1856. doi:

ARVO Annual Meeting Abstract June 2021

Identifying risk factors for blindness from glaucoma at first presentation to a tertiary clinic

Samuel Berchuck; Sydney Hunt; Alyssa Shi; Geetika Singh; Alessandro A Jammal; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1588. doi:

ARVO Annual Meeting Abstract June 2021

Longitudinal Changes in the Central Visual Field and Risk of Visual Acuity Loss in Glaucoma

Tais Estrela; Alessandro A Jammal; Eduardo Bicalho Mariottoni; Leonardo Shigueoka; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):632. doi:

ARVO Annual Meeting Abstract June 2021

Discriminating between healthy and glaucomatous eyes using a Bayesian macular deviation map

Youngsoo Baek; Samuel Berchuck; Alessandro A Jammal; Sayan Mukherjee; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1026. doi:

ARVO Annual Meeting Abstract June 2021

Intraocular Pressure and Rates of Macular Thickness Thinning in Subjects with Glaucoma

Abia Ahmed; Alessandro A Jammal; Samuel Berchuck; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1867. doi:

ARVO Annual Meeting Abstract June 2021

Social History and Glaucoma Progression: The Effect of Obesity, Tobacco, and Alcohol Consumption on the Rates of Structural Change in Patients with Glaucoma

Alessandro A Jammal; Eduardo Bicalho Mariottoni; Leonardo Shigueoka; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1623. doi:

ARVO Annual Meeting Abstract June 2021

Extended duration of IOP lowering with bimatoprost implant in a phase 3 open-label extension study

Felipe A Medeiros; Saumya Nagar; Marina Bejanian; Michael R Robinson; David L Wirta

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2778. doi:

Glaucoma April 2021

Racial Differences in the Rate of Change in Anterior Lamina Cribrosa Surface Depth in the African Descent and Glaucoma Evaluation Study

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Christopher A. Girkin; Akram Belghith; Christopher Bowd; Felipe A. Medeiros; Robert N. Weinreb; Jeffrey M. Liebmann; James A. Proudfoot; Linda M. Zangwill; Massimo A. Fazio
TAGS: cribriform plate, glaucoma, optic disk, racial differences
Invest. Ophthalmol. Vis. Sci.. 2021; 62(4):12. doi: https://doi.org/10.1167/iovs.62.4.12

Includes: Supplemental Content

Articles January 2021

Predicting Age From Optical Coherence Tomography Scans With Deep Learning

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Leonardo S. Shigueoka; Eduardo B. Mariottoni; Atalie C. Thompson; Alessandro A. Jammal; Vital P. Costa; Felipe A. Medeiros
TAGS: deep learning, optical coherence tomography, spectral domain-optical coherence tomography, retinal nerve fiber layer, aging
Trans. Vis. Sci. Tech.. 2021; 10(1):12. doi: https://doi.org/10.1167/tvst.10.1.12

Glaucoma November 2020

The Effect of Age on Increasing Susceptibility to Retinal Nerve Fiber Layer Loss in Glaucoma

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Alessandro A. Jammal; Samuel I. Berchuck; Atalie C. Thompson; Vital P. Costa; Felipe A. Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(13):8. doi: https://doi.org/10.1167/iovs.61.13.8

Includes: Supplemental Content

Special Issue July 2020

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression

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Atalie C. Thompson; Alessandro A. Jammal; Felipe A. Medeiros
TAGS: deep learning, glaucoma, screening
Trans. Vis. Sci. Tech.. 2020; 9(2):42. doi: https://doi.org/10.1167/tvst.9.2.42

ARVO Annual Meeting Abstract June 2020

The relationship between concomitant mental health disorders and disease severity among glaucoma patients

Samuel Berchuck; Alessandro A Jammal; Eduardo Bicalho Mariottoni; Sayan Mukherjee; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1994. doi:

ARVO Annual Meeting Abstract June 2020

Effect of diabetes control on rates of visual field loss in patients with glaucoma.

Nicholas Johnson; Alessandro Adad Jammal; Felipe A Medeiros; Leonardo Shigueoka; Eduardo Mariottoni

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3891. doi:

ARVO Annual Meeting Abstract June 2020

Predicting Rates of RNFL Loss from Analysis of Deep Optic Nerve Head Images

Manav Mayank Vakil; Eduardo Bicalho Mariottoni; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4535. doi:

ARVO Annual Meeting Abstract June 2020

From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil

Tais Estrela; Eduardo Bicalho Mariottoni; Tabatta Graciolli; Nubia Chouchounova; Nara Ogata; Mariana Siqueira; Carla Urata; Leonardo Shigueoka; Alessandro A Jammal; Atalie C. Thompson; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4539. doi:

ARVO Annual Meeting Abstract June 2020

The Effect of Intraocular Pressure Control on Rates of Glaucomatous Structural Loss in a Large Clinical Population

Alessandro A Jammal; Eduardo Bicalho Mariottoni; Atalie C. Thompson; Samuel Berchuck; Tais Estrela; Leonardo Shigueoka; Felipe A Medeiros

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):5196. doi:

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A framework for automating psychosocial distress screening in ophthalmology clinics using an EHR-derived AI algorithm

The Effect of Intraocular Pressure on Rates of Visual Field Loss in Eyes with Optic Nerve Drusen

Assessing the relationship between contrast sensitivity and lower extremity function in the Brain Networks and Mobility Function (B-NET) study

Rates of Glaucoma Progression Derived from Linear Mixed Models Using Varied Random Effect Distributions

Rapid initial OCT RNFL thinning is predictive of large visual field loss during extended follow-up in glaucoma

Identifying risk factors for blindness from glaucoma at first presentation to a tertiary clinic

Longitudinal Changes in the Central Visual Field and Risk of Visual Acuity Loss in Glaucoma

Discriminating between healthy and glaucomatous eyes using a Bayesian macular deviation map

Intraocular Pressure and Rates of Macular Thickness Thinning in Subjects with Glaucoma

Social History and Glaucoma Progression: The Effect of Obesity, Tobacco, and Alcohol Consumption on the Rates of Structural Change in Patients with Glaucoma

Extended duration of IOP lowering with bimatoprost implant in a phase 3 open-label extension study

Racial Differences in the Rate of Change in Anterior Lamina Cribrosa Surface Depth in the African Descent and Glaucoma Evaluation Study

Predicting Age From Optical Coherence Tomography Scans With Deep Learning

The Effect of Age on Increasing Susceptibility to Retinal Nerve Fiber Layer Loss in Glaucoma

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression

The relationship between concomitant mental health disorders and disease severity among glaucoma patients

Effect of diabetes control on rates of visual field loss in patients with glaucoma.

Predicting Rates of RNFL Loss from Analysis of Deep Optic Nerve Head Images

From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil

The Effect of Intraocular Pressure Control on Rates of Glaucomatous Structural Loss in a Large Clinical Population

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