Clinical and Epidemiologic Research

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Retina November 2024

Potential Drug Targets for Diabetic Retinopathy Identified Through Mendelian Randomization Analysis

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Huan Liu; Feiyan Wang; Ziqing Hu; Jing Wei
TAGS: diabetic retinopathy, drug delivery systems, mendelian randomization analysis, plasma proteins, proteins
Trans. Vis. Sci. Tech.. 2024; 13(11):17. https://doi.org/10.1167/tvst.13.11.17

Includes: Supplemental Content

Retina November 2024

Seasonal Variation in ATP-Induced Retinal Damage in the Cone-Dominant 13-Lined Ground Squirrel

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Owen R. Bowie; Hannah M. Follett; Ching Tzu Yu; Chloe Guillaume; Phyllis M. Summerfelt; Nicole Manfredonia; Jenna Grieshop; Dana K. Merriman; Sergey Tarima; Joseph Carroll
TAGS: cohort studies, diagnostic imaging, follow-up, intravitreal injections, retinal cone, scanning laser ophthalmoscopy, seasonal variation, mosaicism, injections, mosaic trial
Trans. Vis. Sci. Tech.. 2024; 13(11):5. https://doi.org/10.1167/tvst.13.11.5

Includes: Supplemental Content

Retina October 2024

Effect of Ocular Perfusion Pressure on Incidence of Diabetic Retinopathy in Type 2 Diabetes: A Two-Year Prospective Study

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Yayi Yan; Xinyan Wu; Yuntong Li; Yiran Fan; Lingyi Li; Ching-Kit Tsui; Kaiqun Liu; Wenyong Huang; Xiaoling Liang; Andina Hu; on behalf of GDES Group
TAGS: diabetes mellitus, type 2, diabetic retinopathy, incidence, mopp protocol, perfusion, prospective studies
Trans. Vis. Sci. Tech.. 2024; 13(10):20. https://doi.org/10.1167/tvst.13.10.20

Cornea & External Disease September 2024

Causal Association Between Atopic Dermatitis and Keratoconus: A Mendelian Randomization Study

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Yuan Chang; Tianze Huang; Shan Yang; Ying Li; Di Chen
TAGS: atopic dermatitis, keratoconus, mendelian randomization analysis, genome-wide association study, datasets
Trans. Vis. Sci. Tech.. 2024; 13(9):13. https://doi.org/10.1167/tvst.13.9.13

Includes: Supplemental Content

Retina September 2024

Impact of the Coronavirus Disease 2019 Pandemic on Outpatient Visits for Diabetic Retinopathy in Japan: A Retrospective Cohort Study

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Kunihiko Hirosawa; Takenori Inomata; Yasutsugu Akasaki; Jaemyoung Sung; Alan Yee; Masao Iwagami; Ken Nagino; Yuichi Okumura; Keiichi Fujimoto; Akie Midorikawa-Inomata; Atsuko Eguchi; Hurramhon Shokirova; Kenta Fujio; Tianxiang Huang; Yuki Morooka; Hiroyuki Kobayashi; Akira Murakami; Shintaro Nakao
TAGS: cohort studies, retrospective, covid-19, diabetes mellitus, diabetes mellitus, type 2, diabetic retinopathy, outpatients, pandemics, risk factors
Trans. Vis. Sci. Tech.. 2024; 13(9):6. https://doi.org/10.1167/tvst.13.9.6

Includes: Supplemental Content

Artificial Intelligence June 2024

Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients With Intermediate AMD

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Guilherme Aresta; Teresa Araujo; Gregor S. Reiter; Julia Mai; Sophie Riedl; Christoph Grechenig; Robyn H. Guymer; Zhichao Wu; Ursula Schmidt-Erfurth; Hrvoje Bogunovic
TAGS: biological markers, datasets, lead, volume, eye, deep learning
Trans. Vis. Sci. Tech.. 2024; 13(6):7. https://doi.org/10.1167/tvst.13.6.7

Public Health May 2024

Impact of Physical Activity Frequency, Duration, and Intensity on Senile Cataract Risk: A Mendelian Randomization Study

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Yuze Mi; Qinnan Zhu; Yuxiang Chen; Xinni Zheng; Minghui Wan; Yipao Li
TAGS: cataract, senile, mendelian randomization analysis, physical activity, gait, genome-wide association study
Trans. Vis. Sci. Tech.. 2024; 13(5):26. https://doi.org/10.1167/tvst.13.5.26

Includes: Supplemental Content

Artificial Intelligence April 2024

Retinal Fractal Dimension Is a Potential Biomarker for Systemic Health—Evidence From a Mixed-Age, Primary-Care Population

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Justin Engelmann; Stephanie Kearney; Alice McTrusty; Greta McKinlay; Miguel O. Bernabeu; Niall Strang
TAGS: biological markers, fractals, health, image quality, primary health care
Trans. Vis. Sci. Tech.. 2024; 13(4):19. https://doi.org/10.1167/tvst.13.4.19

Includes: Supplemental Content

Artificial Intelligence April 2024

Code-Free Machine Learning Approach for EVO-ICL Vault Prediction: A Retrospective Two-Center Study

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Daeun Shin; Hannuy Choi; Dongyoung Kim; Jaekyung Park; Tae Keun Yoo; Kyungmin Koh
TAGS: machine learning, postoperative care, retrospective studies, eye, random forest, surgical procedures, operative, implantation procedure
Trans. Vis. Sci. Tech.. 2024; 13(4):4. https://doi.org/10.1167/tvst.13.4.4

Includes: Supplemental Content

Public Health February 2024

Disparities in Eye Care Utilization Among Refugee and Migrant Populations

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Ivan A. Copado; Shahin Hallaj; Bharanidharan Radha Saseendrakumar; Sally L. Baxter
TAGS: eye care, health disparity, refugees, cohort studies
Trans. Vis. Sci. Tech.. 2024; 13(2):14. https://doi.org/10.1167/tvst.13.2.14

Includes: Supplemental Content

Refractive Intervention January 2024

Ultra-Widefield Imaging of the Retinal Macrovasculature in Parkinson Disease Versus Controls With Normal Cognition Using Alpha-Shapes Analysis

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Justin P. Ma; Cason B. Robbins; Emma Pead; Sarah McGrory; Charlene Hamid; Dilraj S. Grewal; Burton L. Scott; Emanuele Trucco; Tom J. MacGillivray; Sharon Fekrat
TAGS: cognition, diagnostic imaging, parkinson disease, shape, retinal vessels, eye, vasculature
Trans. Vis. Sci. Tech.. 2024; 13(1):15. https://doi.org/10.1167/tvst.13.1.15

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

Glaucoma December 2023

Reducing Ophthalmic Health Disparities Through Transfer Learning: A Novel Application to Overcome Data Inequality

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TingFang Lee; Gadi Wollstein; Chisom T. Madu; Andrew Wronka; Lei Zheng; Ronald Zambrano; Joel S. Schuman; Jiyuan Hu
TAGS: eye, health disparity, imbalance, learning, transfer technique
Trans. Vis. Sci. Tech.. 2023; 12(12):2. https://doi.org/10.1167/tvst.12.12.2

Retina November 2023

Evaluation of an Automated Choroid Segmentation Algorithm in a Longitudinal Kidney Donor and Recipient Cohort

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Jamie Burke; Dan Pugh; Tariq Farrah; Charlene Hamid; Emily Godden; Thomas J. MacGillivray; Neeraj Dhaun; J. Kenneth Baillie; Stuart King; Ian J. C. MacCormick
TAGS: choroid, cohort studies, kidney donors, renal function, donors
Trans. Vis. Sci. Tech.. 2023; 12(11):19. https://doi.org/10.1167/tvst.12.11.19

Includes: Supplemental Content

Review July 2023

A Systematic Review and Meta-Analysis of Applying Deep Learning in the Prediction of the Risk of Cardiovascular Diseases From Retinal Images

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Wenyi Hu; Fabian S. L. Yii; Ruiye Chen; Xinyu Zhang; Xianwen Shang; Katerina Kiburg; Ekaterina Woods; Algis Vingrys; Lei Zhang; Zhuoting Zhu; Mingguang He
TAGS: cardiovascular diseases, deep learning, heart disease risk factors, meta-analysis, systematic reviews
Trans. Vis. Sci. Tech.. 2023; 12(7):14. https://doi.org/10.1167/tvst.12.7.14

Includes: Supplemental Content

Retina July 2023

Geographic Atrophy Segmentation Using Multimodal Deep Learning

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Theodore Spaide; Jiaxiang Jiang; Jasmine Patil; Neha Anegondi; Verena Steffen; Michael G. Kawczynski; Elizabeth M. Newton; Christina Rabe; Simon S. Gao; Aaron Y. Lee; Frank G. Holz; SriniVas Sadda; Steffen Schmitz-Valckenberg; Daniela Ferrara
TAGS: atrophy, datasets, deep learning, screening, training, diagnostic imaging
Trans. Vis. Sci. Tech.. 2023; 12(7):10. https://doi.org/10.1167/tvst.12.7.10

Includes: Supplemental Content

Retina July 2023

Quantitative Fundus Autofluorescence in Systemic Chloroquine/Hydroxychloroquine Therapy: One Year Follow-Up

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Victoria Radun; Andreas Berlin; Ioana-Sandra Tarau; Nikolai Kleefeldt; Clara Reichel; Jost Hillenkamp; Frank G. Holz; Kenneth R. Sloan; Marlene Saßmannshausen; Thomas Ach
TAGS: chloroquine, follow-up, fundus autofluorescence imaging, hydroxychloroquine, longitudinal studies
Trans. Vis. Sci. Tech.. 2023; 12(7):8. https://doi.org/10.1167/tvst.12.7.8

Includes: Supplemental Content

Neuro-ophthalmology May 2023

Visual Field Pointwise Analysis of the Idiopathic Intracranial Hypertension Weight Trial (IIH:WT)

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Susan P. Mollan; Samuel Bodoza; Áine Ní Mhéalóid; James L. Mitchell; Neil R. Miller; Giovanni Montesano; David P. Crabb; Michael Wall; Kristian Brock; Alexandra J. Sinclair
TAGS: body weight, cohort studies, pseudotumor cerebri, visual fields, weight (force)
Trans. Vis. Sci. Tech.. 2023; 12(5):1. https://doi.org/10.1167/tvst.12.5.1

Retina March 2023

Racial Disparities in Barriers to Care for Patients With Diabetic Retinopathy in a Nationwide Cohort

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Bonnie B. Huang; Bharanidharan Radha Saseendrakumar; Arash Delavar; Sally L. Baxter
TAGS: cohort studies, diabetic retinopathy, racial disparities, surveys, health services accessibility, social determinants of health, hispanics or latinos, ethnic group
Trans. Vis. Sci. Tech.. 2023; 12(3):14. https://doi.org/10.1167/tvst.12.3.14

Includes: Supplemental Content

Artificial Intelligence March 2023

AxoNet 2.0: A Deep Learning-Based Tool for Morphometric Analysis of Retinal Ganglion Cell Axons

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Vidisha Goyal; A. Thomas Read; Matthew D. Ritch; Bailey G. Hannon; Gabriela Sanchez Rodriguez; Dillon M. Brown; Andrew J. Feola; Adam Hedberg-Buenz; Grant A. Cull; Juan Reynaud; Mona K. Garvin; Michael G. Anderson; Claude F. Burgoyne; C. Ross Ethier
TAGS: axon, datasets, learning
Trans. Vis. Sci. Tech.. 2023; 12(3):9. https://doi.org/10.1167/tvst.12.3.9

Includes: Supplemental Content

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Potential Drug Targets for Diabetic Retinopathy Identified Through Mendelian Randomization Analysis

Seasonal Variation in ATP-Induced Retinal Damage in the Cone-Dominant 13-Lined Ground Squirrel

Effect of Ocular Perfusion Pressure on Incidence of Diabetic Retinopathy in Type 2 Diabetes: A Two-Year Prospective Study

Causal Association Between Atopic Dermatitis and Keratoconus: A Mendelian Randomization Study

Impact of the Coronavirus Disease 2019 Pandemic on Outpatient Visits for Diabetic Retinopathy in Japan: A Retrospective Cohort Study

Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients With Intermediate AMD

Impact of Physical Activity Frequency, Duration, and Intensity on Senile Cataract Risk: A Mendelian Randomization Study

Retinal Fractal Dimension Is a Potential Biomarker for Systemic Health—Evidence From a Mixed-Age, Primary-Care Population

Code-Free Machine Learning Approach for EVO-ICL Vault Prediction: A Retrospective Two-Center Study

Disparities in Eye Care Utilization Among Refugee and Migrant Populations

Ultra-Widefield Imaging of the Retinal Macrovasculature in Parkinson Disease Versus Controls With Normal Cognition Using Alpha-Shapes Analysis

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

Reducing Ophthalmic Health Disparities Through Transfer Learning: A Novel Application to Overcome Data Inequality

Evaluation of an Automated Choroid Segmentation Algorithm in a Longitudinal Kidney Donor and Recipient Cohort

A Systematic Review and Meta-Analysis of Applying Deep Learning in the Prediction of the Risk of Cardiovascular Diseases From Retinal Images

Geographic Atrophy Segmentation Using Multimodal Deep Learning

Quantitative Fundus Autofluorescence in Systemic Chloroquine/Hydroxychloroquine Therapy: One Year Follow-Up

Visual Field Pointwise Analysis of the Idiopathic Intracranial Hypertension Weight Trial (IIH:WT)

Racial Disparities in Barriers to Care for Patients With Diabetic Retinopathy in a Nationwide Cohort

AxoNet 2.0: A Deep Learning-Based Tool for Morphometric Analysis of Retinal Ganglion Cell Axons

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