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Artificial Intelligence October 2024

Automated Identification of Clinically Relevant Regions in Glaucoma OCT Reports Using Expert Eye Tracking Data and Deep Learning

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Ye Tian; Anurag Sharma; Shubh Mehta; Shubham Kaushal; Jeffrey M. Liebmann; George A. Cioffi; Kaveri A. Thakoor
TAGS: eye-tracking, glaucoma, deep learning, training
Trans. Vis. Sci. Tech.. 2024; 13(10):24. https://doi.org/10.1167/tvst.13.10.24

ARVO Annual Meeting Abstract June 2024

A Deep Learning Approach Accurately Estimates RNFL Thickness in OCT Scans Where Instrument-Native Segmentation Fails

Benton Gabriel Chuter; Justin Huynh; Mark Christopher; Ruben Cesar Gonzalez; Evan Walker; Sally Liu Baxter; Akram Belghith; Christopher Bowd; Michael Henry Goldbaum; Jeffrey M Liebmann; Massimo Antonio Fazio; Christopher A Girkin; Robert Weinreb; Linda M Zangwill

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2385.

ARVO Annual Meeting Abstract June 2024

OCT metrics for the macular region are more sensitive for detecting glaucomatous progression than OCT circumpapillary metrics

Iván Marin-Franch; Yujia Wang; Gustavo De Moraes; Ari Leshno; Aakriti Garg Shukla; Jeffrey M Liebmann; George A Cioffi; Donald C Hood; Emmanouil (Manos) Tsamis

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1451.

ARVO Annual Meeting Abstract June 2024

Perimetric testing patterns focusing on the central visual field region can be more sensitive to glaucomatous progression than more peripheral patterns

Yujia Wang; Iván Marin-Franch; Carlos Gustavo De Moraes; Ari Leshno; Aakriti Garg Shukla; Jeffrey M Liebmann; George A. Cioffi; Donald Hood; Emmanouil Tsamis

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4800.

ARVO Annual Meeting Abstract June 2024

Use of Topographical Structure–Function Agreement For Glaucoma Screening

Ari Leshno; Donald C Hood; Jeffrey M Liebmann; George A. Cioffi; Aakriti Garg Shukla; Yonatan Shalamaev; Raam Hasharoni; Zvia Burgansky-Eliash; Alon Skaat; Emmanouil (Manos) Tsamis

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2518.

ARVO Annual Meeting Abstract June 2024

Eyes with particular patterns of retinal ganglion cell damage at baseline are more likely to show glaucomatous progression

Grace Mao; Yujia Wang; Elizabeth Ahn; Ari Leshno; Gustavo De Moraes; Aakriti Garg Shukla; George A Cioffi; Jeffrey M Liebmann; Donald C Hood; Emmanouil Tsamis

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2517.

ARVO Annual Meeting Abstract June 2024

Impact of Physical Activity Levels on Visual Field Progression in Individuals with Glaucoma

Je Hyun Seo; Takashi Nishida; Sasan Moghimi; Massimo Antonio Fazio; Christopher A Girkin; Jeffrey M Liebmann; Linda M Zangwill; Robert Weinreb

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4046.

ARVO Annual Meeting Abstract June 2024

Impact of Initial Rates of Retinal Nerve Fiber Layer Thinning on Glaucoma Progression

Vincent Pham; Takashi Nishida; Sasan Moghimi; Natchada Tansuebchueasai; Naimul Alam; Christopher A Girkin; Massimo Antonio Fazio; Jeffrey M Liebmann; Linda M Zangwill; Robert Weinreb

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2542.

ARVO Annual Meeting Abstract June 2024

A Randomized, Sham Controlled, Masked Phase II Study for Safety of Intravitreal Implantation of NT-501 Encapsulated Cell Therapy for the Treatment of Glaucoma: Adverse Events and Structural Outcomes

Alexandria Dominguez; Gala Beykin; Mariana Nunez; Zac Wennberg Smith; George A. Cioffi; Jeffrey M Liebmann; Marzhan Atakulova; Davinder S. Grover; Jennifer Rinn; Alexus Schley; Jeffrey Louis Goldberg

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):942.

ARVO Annual Meeting Abstract June 2024

Racial and ethnic differences in baseline glaucoma disease severity

Sophie Gu; Ari Leshno; Aakriti Garg Shukla; George A Cioffi; Jeffrey M Liebmann

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2510.

ARVO Annual Meeting Abstract June 2024

Time to glaucoma progression detection by retinal nerve fiber layer thickness and visual field in individuals of African descent

Jo-Hsuan Wu; Sasan Moghimi; Evan Walker; Takashi Nishida; Gopikasree Gunasegaran; Natchada Tansuebchueasai; Jeffrey M Liebmann; Massimo Antonio Fazio; Christopher A Girkin; Linda M Zangwill; Robert Weinreb

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2509.

ARVO Annual Meeting Abstract June 2024

Estimation of 10-2 Visual Field Maps Based on 24-2 Visual Field Measurements in Glaucoma

Michael Saheb Kashaf; Golnoush Mahmoudinezhad; Sasan Moghimi; Jiacheng Cheng; Yu Xiang; Liyang Ru; Siavash Beheshtaein; Evan Walker; Mohsen Adelpour; Mark Christopher; Jeffrey M Liebmann; Christopher A Girkin; Massimo A. Fazio; Linda M Zangwill; Nuno Vasconcelos; Robert Weinreb

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2365.

ARVO Annual Meeting Abstract June 2024

Prevalence of Fast Progression in the Central versus Global Visual Field Across Varying Glaucoma Severity Groups

Gopikasree Gunasegaran; Sasan Moghimi; Takashi Nishida; Jeffrey M Liebmann; Massimo Antonio Fazio; Christopher A Girkin; Jo-Hsuan Wu; Golnoush Mahmoudinezhad; Linda M Zangwill; Robert Weinreb

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2523.

ARVO Annual Meeting Abstract June 2024

Comparison of Methods for Visual Field Progression in Eyes with Central VF Defects

Takashi Nishida; Sasan Moghimi; Jeffrey M Liebmann; Massimo Antonio Fazio; Christopher A Girkin; Linda M Zangwill; Robert Weinreb

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4797.

ARVO Annual Meeting Abstract June 2024

A combination of OCT metrics can detect glaucoma progression sooner than a VF benchmark criterion

Emmanouil (Manos) Tsamis; Yujia Wang; Ari Leshno; Carlos Gustavo De Moraes; Aakriti Garg Shukla; George A Cioffi; Jeffrey M Liebmann; Donald C Hood

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):2537.

ARVO Annual Meeting Abstract June 2024

Visual Field Progression Rate and Laminar Depth in the African Descent and Glaucoma Evaluation Study (ADAGES)

Christopher A Girkin; Karla Murillo; Anuwat Jiravarnsirikul; Evan Walker; Massimo Antonio Fazio; Linda M Zangwill; Robert Weinreb; Jeffrey M Liebmann

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1453.

ARVO Annual Meeting Abstract June 2024

From Visual Field to Visual Field: 10-2 Visual Field Map Prediction from 24-2 Visual Field Using Machine Learning and Detection of Central Visual Field Progression

Golnoush Mahmoudinezhad; Sasan Moghimi; Yu Xuan Yong; Jiacheng Cheng; Liyang Ru; Siavash Beheshtaein; Evan Walker; Mohsen Adelpour; Leo Meller; Mark Christopher; Jeffrey M. Liebmann; Christopher A Girkin; Massimo A. Fazio; Linda M Zangwill; Nuno Vasconcelos; Robert Weinreb

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):6478.

ARVO Annual Meeting Abstract June 2024

Deep Learning Prediction of Glaucoma Progression using Multimodal Transformers and Longitudinal Clinical Data

Justin Huynh; Ruben Cesar Gonzalez; Evan Walker; Benton Gabriel Chuter; Alireza Kamalipour; Christopher Bowd; Akram Belghith; Michael Henry Goldbaum; Massimo Antonio Fazio; Christopher A Girkin; Carlos Gustavo De Moraes; Jeffrey M Liebmann; Robert Weinreb; Sally Liu Baxter; Linda M Zangwill; Mark Christopher

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1623.

ARVO Annual Meeting Abstract June 2024

Can modifiable behavioral factors be identified to increase activation in patients with glaucoma?

Alan R Morse; Lisa A Hark; Prakash Gorroochurn; Rebecca Rojas; William H Seiple; Aakriti Garg Shukla; Yujia Wang; Stefania Maruri; Desiree Henriquez; Noga Harizman; Qing Wang; Jeffrey M Liebmann; George A. Cioffi

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):4044.

Artificial Intelligence January 2024

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

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Benton Chuter; Justin Huynh; Christopher Bowd; Evan Walker; Jasmin Rezapour; Nicole Brye; Akram Belghith; Massimo A. Fazio; Christopher A. Girkin; Gustavo De Moraes; Jeffrey M. Liebmann; Robert N. Weinreb; Linda M. Zangwill; Mark Christopher
TAGS: fundus photography, open-angle glaucoma, deep learning, glaucoma, datasets
Trans. Vis. Sci. Tech.. 2024; 13(1):23. https://doi.org/10.1167/tvst.13.1.23

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Automated Identification of Clinically Relevant Regions in Glaucoma OCT Reports Using Expert Eye Tracking Data and Deep Learning

A Deep Learning Approach Accurately Estimates RNFL Thickness in OCT Scans Where Instrument-Native Segmentation Fails

OCT metrics for the macular region are more sensitive for detecting glaucomatous progression than OCT circumpapillary metrics

Perimetric testing patterns focusing on the central visual field region can be more sensitive to glaucomatous progression than more peripheral patterns

Use of Topographical Structure–Function Agreement For Glaucoma Screening

Eyes with particular patterns of retinal ganglion cell damage at baseline are more likely to show glaucomatous progression

Impact of Physical Activity Levels on Visual Field Progression in Individuals with Glaucoma

Impact of Initial Rates of Retinal Nerve Fiber Layer Thinning on Glaucoma Progression

A Randomized, Sham Controlled, Masked Phase II Study for Safety of Intravitreal Implantation of NT-501 Encapsulated Cell Therapy for the Treatment of Glaucoma: Adverse Events and Structural Outcomes

Racial and ethnic differences in baseline glaucoma disease severity

Time to glaucoma progression detection by retinal nerve fiber layer thickness and visual field in individuals of African descent

Estimation of 10-2 Visual Field Maps Based on 24-2 Visual Field Measurements in Glaucoma

Prevalence of Fast Progression in the Central versus Global Visual Field Across Varying Glaucoma Severity Groups

Comparison of Methods for Visual Field Progression in Eyes with Central VF Defects

A combination of OCT metrics can detect glaucoma progression sooner than a VF benchmark criterion

Visual Field Progression Rate and Laminar Depth in the African Descent and Glaucoma Evaluation Study (ADAGES)

From Visual Field to Visual Field: 10-2 Visual Field Map Prediction from 24-2 Visual Field Using Machine Learning and Detection of Central Visual Field Progression

Deep Learning Prediction of Glaucoma Progression using Multimodal Transformers and Longitudinal Clinical Data

Can modifiable behavioral factors be identified to increase activation in patients with glaucoma?

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

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