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Meeting Abstract (5)
Journal Articles (3)

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Investigative Ophthalmology & Visual Science (6)
Translational Vision Science & Technology (2)

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ARVO Annual Meeting Abstract (5)
Articles (1)
Artificial Intelligence (1)
Retina (1)

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Retina (2)
Translational Research (2)
Clinical and Epidemiologic Research (1)
Eye Anatomy and Disorders (1)
Visual Psychophysics and Physiological Optics (1)

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attention (1)
deep learning (1)
diabetes mellitus (1)
diabetes mellitus, type 2 (1)
diabetic retinopathy (1)
diabetic retinopathy screening (1)
hemoglobin a, glycosylated (1)
learning (1)
participation in ward rounds (1)
prospective studies (1)

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Artificial Intelligence December 2023

Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study

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Ashish Bora; Richa Tiwari; Pinal Bavishi; Sunny Virmani; Rayman Huang; Ilana Traynis; Greg S. Corrado; Lily Peng; Dale R. Webster; Avinash V. Varadarajan; Warisara Pattanapongpaiboon; Reena Chopra; Paisan Ruamviboonsuk
TAGS: deep learning, diabetic retinopathy screening, hemoglobin a, glycosylated, prospective studies, screening, stratification, diabetes mellitus, diabetes mellitus, type 2
Trans. Vis. Sci. Tech.. 2023; 12(12):11. https://doi.org/10.1167/tvst.12.12.11

Includes: Supplemental Content

Articles December 2019

Remote Tool-Based Adjudication for Grading Diabetic Retinopathy

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Mike Schaekermann; Naama Hammel; Michael Terry; Tayyeba K. Ali; Yun Liu; Brian Basham; Bilson Campana; William Chen; Xiang Ji; Jonathan Krause; Greg S. Corrado; Lily Peng; Dale R. Webster; Edith Law; Rory Sayres
TAGS: diabetic retinopathy, participation in ward rounds, reliability, reference standards
Trans. Vis. Sci. Tech.. 2019; 8(6):40. https://doi.org/10.1167/tvst.8.6.40

Includes: Supplemental Content

ARVO Annual Meeting Abstract July 2019

Asynchronous Remote Adjudication for Grading Diabetic Retinopathy

Mike Schaekermann; Naama Hammel; Brian Basham; Bilson Campana; Edith Law; Lily Peng; Dale R Webster; Rory Sayres

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):158.

ARVO Annual Meeting Abstract July 2019

A Study of Feature-based Consensus Formation for Glaucoma Risk Assessment

Naama Hammel; Mike Schaekermann; Sonia Phene; Carter Dunn; Lily Peng; Dale R Webster; Rory Sayres

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):164.

ARVO Annual Meeting Abstract July 2019

Identifying glaucomatous optic nerve head features and glaucoma risk in fundus images at eye-care provider levels of accuracy using deep learning algorithms

Sonia Phene; Naama Hammel; Abigail E Huang; April Yauguang Maa; Carter Dunn; Christopher Semturs; Lily Peng; Dale R Webster

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1460.

ARVO Annual Meeting Abstract July 2019

Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images

Ashish Bora; Jonathan Krause; Anita Misra; Carter Dunn; Ali Zaidi; Oscar Kuruvilla; Joshua Carlson; Siva Balasubramanian; Christopher Semturs; Lily Peng; Dale R Webster

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1448.

ARVO Annual Meeting Abstract July 2019

Assistance from a deep learning system improves diabetic retinopathy assessment in optometrists

Rory Sayres; Shawn Xu; T Saensuksopa; Marilyn Le; Dale R Webster

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1433.

Retina June 2018

Deep Learning for Predicting Refractive Error From Retinal Fundus Images

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Avinash V. Varadarajan; Ryan Poplin; Katy Blumer; Christof Angermueller; Joe Ledsam; Reena Chopra; Pearse A. Keane; Greg S. Corrado; Lily Peng; Dale R. Webster
TAGS: attention, learning, refractive errors
Invest. Ophthalmol. Vis. Sci.. 2018; 59(7):2861-2868. https://doi.org/10.1167/iovs.18-23887

Includes: Supplemental Content

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Online ISSN: 2164-2591

Investigative Ophthalmology & Visual Science
Journal of Vision
Translational Vision Science & Technology

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