Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning-Reference-Cited by-同舟云学术

Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning

Published:2019-09-01 Issue:9 Volume:137 Page:1022
ISSN:2168-6165
Container-title:JAMA Ophthalmology
language:en
Short-container-title:JAMA Ophthalmol

Author:

Taylor Stanford¹,Brown James M.²,Gupta Kishan¹,Campbell J. Peter¹,Ostmo Susan¹,Chan R. V. Paul³,Dy Jennifer⁴,Erdogmus Deniz⁴,Ioannidis Stratis⁴,Kim Sang J.¹⁵,Kalpathy-Cramer Jayashree²⁶,Chiang Michael F.¹⁷,

Affiliation:

1. Department of Ophthalmology, Casey Eye institute, Oregon Health & Science University, Portland

2. Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown

3. Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago

4. Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts

5. Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

6. Massachusetts General Hospital and Brigham and Women’s Hospital Center for Clinical Data Science, Boston

7. Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland

Publisher

American Medical Association (AMA)

Subject

Ophthalmology

Link

https://jamanetwork.com/journals/jamaophthalmology/articlepdf/2737217/jamaophthalmology_taylor_2019_oi_190044.pdf

Reference34 articles.

1. Multicenter trial of cryotherapy for retinopathy of prematurity: preliminary results.;Cryotherapy for Retinopathy of Prematurity Cooperative Group;Arch Ophthalmol,1988

2. Evidence-based screening criteria for retinopathy of prematurity: natural history data from the CRYO-ROP and LIGHT-ROP studies.;Reynolds;Arch Ophthalmol,2002

3. Revised indications for the treatment of retinopathy of prematurity: results of the early treatment for retinopathy of prematurity randomized trial.;Early Treatment for Retinopathy of Prematurity Cooperative Group;Arch Ophthalmol,2003

4. Screening examination of premature infants for retinopathy of prematurity.;Fierson;Pediatrics,2018

5. Validity of a telemedicine system for the evaluation of acute-phase retinopathy of prematurity.;Quinn;JAMA Ophthalmol,2014

Cited by 87 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. Changes of the peripapillary vascular parameters in premature infants without retinopathy of prematurity using U-net segmentation;International Journal of Ophthalmology;2024-08-18

2. An Interpretable System for Screening the Severity Level of Retinopathy in Premature Infants Using Deep Learning;Bioengineering;2024-08-05

3. Artificial intelligence in ophthalmology: Current status;Indian Journal of Clinical and Experimental Ophthalmology;2024-07-15

4. From Prediction to Practice: A Rapid Review on the Opportunities and Challenges of using Artificial Intelligence in the Neonatal Intensive Care Unit (NICU) (Preprint);2024-06-14

5. Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of Prematurity;Ophthalmology;2024-06