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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: Apr 18, 2024
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Glaucoma[original query]>>Original Studies[Product Type]
An extra X chromosome among adult women in the Million Veteran Program: A more benign perspective of trisomy X.
Shanlee M Davis et al. Am J Med Genet C Semin Med Genet 2024 e32083
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Prediction Models for Glaucoma in a Multicenter Electronic Health Records Consortium: The Sight Outcomes Research Collaborative.
Sophia Y Wang et al. Ophthalmol Sci 2024 4(3) 100445
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Comparing Active Surveillance and Watchful Waiting With Radical Treatment Using Machine Learning Models Among Patients With Prostate Cancer.
Siqi Hu et al. JCO Clin Cancer Inform 2023 7e2300083
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Empowering Family Glaucoma Risk Communication Using QR-code Mediated Online Intervention.
Shahin Hallaj et al. Ophthalmol Glaucoma 2023
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Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma.
Janani Surya et al. Indian J Ophthalmol 2023 71(8) 3039-3045
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A generalizable deep learning regression model for automated glaucoma screening from fundus images.
Ruben Hemelings et al. NPJ Digit Med 2023 6(1) 112
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Investigation of mutational spectrum in cytochrome P4501B1 (CYP1B1) as the principal cause of primary congenital glaucoma.
Tazeen Zahid et al. Pakistan journal of medical sciences 2023 39(2) 409-416
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Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19.
Aretha Zhu et al. Journal of telemedicine and telecare 2023 1357633X231158832
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Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression.
Jimmy S Chen et al. Journal of glaucoma 2023 32(3) 151-158
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Tele-Glaucoma Using a New Smartphone-based Tool for Visual Field Assessment.
Elisabeth Grau et al. Journal of glaucoma 2023
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Agreement of a Novel Artificial Intelligence Software with Optical Coherence Tomography and Manual Grading of the Optic Disc in Glaucoma.
Sujani Shroff et al. Journal of glaucoma 2023
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Deep-Learning-Aided Diagnosis of Diabetic Retinopathy, Age-Related Macular Degeneration, and Glaucoma Based on Structural and Angiographic OCT.
Zang Pengxiao et al. Ophthalmology science 2022 3(1) 100245
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Glaucoma Detection and Classification Using Improved U-Net Deep Learning Model.
Kashyap Ramgopal et al. Healthcare (Basel, Switzerland) 2022 10(12)
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Systematic comparison of family history and polygenic risk across 24 common diseases.
Mars Nina et al. American journal of human genetics 2022
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Attitudes Toward Glaucoma Genetic Risk Assessment in Unaffected Individuals.
Hollitt Georgina L et al. Translational vision science & technology 2022 11(10) 38
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Deep Learning Approaches for Predicting Glaucoma Progression Using Electronic Health Records and Natural Language Processing.
Wang Sophia Y et al. Ophthalmology science 2022 2(2) 100127
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Smart soft contact lenses for continuous 24-hour monitoring of intraocular pressure in glaucoma care
J Zhang et al, Nat Comms, September 20, 2022
Glaucoma Screening in Family Members of Glaucoma Patients at a Tertiary Eye Hospital in Eastern Region of Nepal.
Bhandari Ravi Dhar et al. Nepalese journal of ophthalmology : a biannual peer-reviewed academic journal of the Nepal Ophthalmic Society : NEPJOPH 2022 13(24) 128-136
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Screening of Accompanying First Degree Relatives of Patients with Primary Open Angle Glaucoma.
Paudyal Indira et al. Nepalese journal of ophthalmology : a biannual peer-reviewed academic journal of the Nepal Ophthalmic Society : NEPJOPH 2022 14(27) 4-9
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Cross-sectional observational analysis of the genetic referral practices across pediatric ophthalmology outpatient departments in an urban setting.
Bajaj Shruti et al. Indian journal of ophthalmology 2022 70(7) 2564-2569
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Patients with Retinitis Pigmentosa May Have a Higher Risk of Developing Open-Angle Glaucoma.
Hung Man-Chen et al. Journal of ophthalmology 2022 20229719095
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Investigation of the Role of Convolutional Neural Network Architectures in the Diagnosis of Glaucoma using Color Fundus Photography.
Atalay Eray et al. Turkish journal of ophthalmology 2022 52(3) 193-200
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An Objective and Easy-to-Use Glaucoma Functional Severity Staging System Based on Artificial Intelligence.
Huang Xiaoqin et al. Journal of glaucoma 2022
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Identifying Those at Risk of Glaucoma: A Deep Learning Approach for Optic Disc and Cup Segmentation and Their Boundary Analysis.
Kim Jongwoo et al. Diagnostics (Basel, Switzerland) 2022 12(5)
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Deep Learning for Glaucoma Detection and Identification of Novel Diagnostic Areas in Diverse Real-World Datasets.
Noury Erfan et al. Translational vision science & technology 2022 11(5) 11
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An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images.
Mayya Veena et al. Applied intelligence (Dordrecht, Netherlands) 2022 1-19
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Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases.
Dong Li et al. JAMA network open 2022 5(5) e229960
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Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning.
Fan Rui et al. JAMA ophthalmology 2022
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Diagnostic Accuracy of Artificial Intelligence in Glaucoma Screening and Clinical Practice.
Chaurasia Abadh K et al. Journal of glaucoma 2022
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Glaucoma Detection Using Image Processing and Supervised Learning for Classification.
Joshi Shubham et al. Journal of healthcare engineering 2022 20222988262
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 18, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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