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Smartphone-Based, Artificial Intelligence–Enabled Diabetic Retinopathy Screening

JAMA ophthalmology, 2019-10, Vol.137 (10), p.1188

Liu, T. Y. Alvin

2019

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Deep Learning and Transfer Learning for Optic Disc Laterality Detection: Implications for Machine Learning in Neuro-Ophthalmology

Journal of neuro-ophthalmology, 2020-06, Vol.40 (2), p.178-184

2020

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The Impact of COVID-19 on Diabetic Retinopathy Monitoring and Treatment

Current diabetes reports, 2021-10, Vol.21 (10), p.40-40, Article 40

2021

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Performance and Limitation of Machine Learning Algorithms for Diabetic Retinopathy Screening: Meta-analysis

Journal of medical Internet research, 2021-07, Vol.23 (7), p.e23863

2021

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The Role of Ultra-Widefield Fundus Imaging and Fluorescein Angiography in Diagnosis and Treatment of Diabetic Retinopathy

Current diabetes reports, 2021-09, Vol.21 (9), p.30-30, Article 30

2021

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The SEE Study: Safety, Efficacy, and Equity of Implementing Autonomous Artificial Intelligence for Diagnosing Diabetic Retinopathy in Youth

Diabetes care, 2021-03, Vol.44 (3), p.781-787

2021

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Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial

Nature communications, 2024-01, Vol.15 (1), p.421-421, Article 421

2024

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Choriocapillaris flow loss in center-involving retinitis pigmentosa: a quantitative optical coherence tomography angiography study using a novel classification system

Graefe's archive for clinical and experimental ophthalmology, 2021-11, Vol.259 (11), p.3235-3242

2021

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Dipeptidyl peptidase 4 inhibitors, sodium glucose cotransporter 2 inhibitors, and glucagon-like peptide 1 receptor agonists do not worsen diabetic macular edema

Journal of diabetes and its complications, 2024-08, Vol.38 (8), p.108808, Article 108808

2024

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Deep Learning Applications to Classification and Detection of Age-Related Macular Degeneration on Optical Coherence Tomography Imaging: A Review

Ophthalmology and therapy, 2023-10, Vol.12 (5), p.2347-2359

2023

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Retinal Thickness and Microvascular Changes in Children With Sickle Cell Disease Evaluated by Optical Coherence Tomography (OCT) and OCT Angiography

American journal of ophthalmology, 2020-01, Vol.209, p.88-98

2020

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Detection of Optic Disc Abnormalities in Color Fundus Photographs Using Deep Learning

Journal of neuro-ophthalmology, 2021-09, Vol.41 (3), p.368-374

2021

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Association of Macular and Peripheral Retinal Macro-Pseudocysts With Chronic Retinal Detachment

JAMA ophthalmology, 2018-08, Vol.136 (8), p.956

2018

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The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in Ophthalmology

Frontiers in medicine, 2022-06, Vol.9, p.845522-845522

2022

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Loss of Peak Vision in Retinal Vein Occlusion Patients Treated for Macular Edema

American journal of ophthalmology, 2019-09, Vol.205, p.17-26

2019

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Social Determinants of Health and Impact on Screening, Prevalence, and Management of Diabetic Retinopathy in Adults: A Narrative Review

Journal of clinical medicine, 2022-11, Vol.11 (23), p.7120

2022

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Clinical Implementation of Autonomous Artificial Intelligence Systems for Diabetic Eye Exams: Considerations for Success

Clinical diabetes, 2024-01, Vol.42 (1), p.142-149

2024

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Correlation between hyperreflective foci and visual function testing in eyes with intermediate age-related macular degeneration

International journal of retina and vitreous, 2023-04, Vol.9 (1), p.24-24, Article 24

2023

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Author Correction: Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations

NPJ digital medicine, 2024-12, Vol.7 (1), p.220-1

2024

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Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations

NPJ digital medicine, 2024-07, Vol.7 (1), p.196-6, Article 196

2024

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Wide-field imaging in proliferative diabetic retinopathy

International journal of retina and vitreous, 2019-12, Vol.5 (Suppl 1), p.20-20, Article 20

2019

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Increased Frequency of Topical Steroids Provides Benefit in Patients With Recalcitrant Postsurgical Macular Edema

American journal of ophthalmology, 2017-06, Vol.178, p.163-175

2017

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Comparative analysis of alignment algorithms for macular optical coherence tomography imaging

International journal of retina and vitreous, 2023-10, Vol.9 (1), p.1-60, Article 60

2023

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Direct Gene Expression Profile Prediction for Uveal Melanoma from Digital Cytopathology Images via Deep Learning and Salient Image Region Identification

Ophthalmology science (Online), 2023-03, Vol.3 (1), p.100240-100240, Article 100240

2023

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Self-Supervised Deep Learning—The Next Frontier

JAMA ophthalmology, 2024-03, Vol.142 (3), p.234

2024

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Smartphone-Based, Artificial Intelligence–Enabled Diabetic Retinopathy Screening

Deep Learning and Transfer Learning for Optic Disc Laterality Detection: Implications for Machine Learning in Neuro-Ophthalmology

The Impact of COVID-19 on Diabetic Retinopathy Monitoring and Treatment

Performance and Limitation of Machine Learning Algorithms for Diabetic Retinopathy Screening: Meta-analysis

The Role of Ultra-Widefield Fundus Imaging and Fluorescein Angiography in Diagnosis and Treatment of Diabetic Retinopathy

The SEE Study: Safety, Efficacy, and Equity of Implementing Autonomous Artificial Intelligence for Diagnosing Diabetic Retinopathy in Youth

Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial

Choriocapillaris flow loss in center-involving retinitis pigmentosa: a quantitative optical coherence tomography angiography study using a novel classification system

Dipeptidyl peptidase 4 inhibitors, sodium glucose cotransporter 2 inhibitors, and glucagon-like peptide 1 receptor agonists do not worsen diabetic macular edema

Deep Learning Applications to Classification and Detection of Age-Related Macular Degeneration on Optical Coherence Tomography Imaging: A Review

Retinal Thickness and Microvascular Changes in Children With Sickle Cell Disease Evaluated by Optical Coherence Tomography (OCT) and OCT Angiography

Detection of Optic Disc Abnormalities in Color Fundus Photographs Using Deep Learning

Association of Macular and Peripheral Retinal Macro-Pseudocysts With Chronic Retinal Detachment

The Ethical and Societal Considerations for the Rise of Artificial Intelligence and Big Data in Ophthalmology

Loss of Peak Vision in Retinal Vein Occlusion Patients Treated for Macular Edema

Social Determinants of Health and Impact on Screening, Prevalence, and Management of Diabetic Retinopathy in Adults: A Narrative Review

Clinical Implementation of Autonomous Artificial Intelligence Systems for Diabetic Eye Exams: Considerations for Success

Correlation between hyperreflective foci and visual function testing in eyes with intermediate age-related macular degeneration

Author Correction: Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations

Autonomous artificial intelligence for diabetic eye disease increases access and health equity in underserved populations

Wide-field imaging in proliferative diabetic retinopathy

Increased Frequency of Topical Steroids Provides Benefit in Patients With Recalcitrant Postsurgical Macular Edema

Comparative analysis of alignment algorithms for macular optical coherence tomography imaging

Direct Gene Expression Profile Prediction for Uveal Melanoma from Digital Cytopathology Images via Deep Learning and Salient Image Region Identification

Self-Supervised Deep Learning—The Next Frontier

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