Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data-Reference-Cited by-同舟云学术

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Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, OCT, and Clinical Data

Published:2023-09 Issue:5 Volume:6 Page:466-473
ISSN:2589-4196
Container-title:Ophthalmology Glaucoma
language:en
Short-container-title:Ophthalmology Glaucoma

Author:

Herbert Patrick,Hou Kaihua^ORCID,Bradley Chris^ORCID,Hager Greg,Boland Michael V.^ORCID,Ramulu Pradeep,Unberath Mathias^ORCID,Yohannan Jithin^ORCID

Publisher

Elsevier BV

Subject

General Medicine

Reference24 articles.

1. Rates of glaucomatous visual field change in a large clinical population;Chauhan;Invest Ophthalmol Vis Sci,2014

2. The relationship between vision-related quality of life and visual function in glaucoma patients;Hirooka;J Glaucoma,2016

3. Assessing functional disability in glaucoma: the relative importance of central versus far peripheral visual fields;Odden;Invest Ophthalmol Vis Sci,2020

4. Practical recommendations for measuring rates of visual field change in glaucoma;Chauhan;Br J Ophthalmol,2008

5. Forecasting future Humphrey Visual Fields using deep learning;Wen;PLOS ONE,2019

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Big data in visual field testing for glaucoma;Taiwan Journal of Ophthalmology;2024-07

2. Artificial Intelligence in Glaucoma: A New Landscape of Diagnosis and Management;Journal of Clinical & Translational Ophthalmology;2024-05-25

3. Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability;Ophthalmology Glaucoma;2024-05

4. Novel Technologies in Artificial Intelligence and Telemedicine for Glaucoma Screening;Journal of Glaucoma;2024-03-20

5. A multi-label transformer-based deep learning approach to predict focal visual field progression;Graefe's Archive for Clinical and Experimental Ophthalmology;2024-02-09

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