Literature DB >> 32289490

Evaluation of artificial intelligence-based telemedicine screening for retinopathy of prematurity.

Miles F Greenwald1, Ian D Danford1, Malika Shahrawat2, Susan Ostmo1, James Brown2, Jayashree Kalpathy-Cramer2, Kacy Bradshaw3, Robert Schelonka4, Howard S Cohen3, R V Paul Chan5, Michael F Chiang6, J Peter Campbell7.   

Abstract

Retrospective evaluation of a deep learning-derived retinopathy of prematurity (ROP) vascular severity score in an operational ROP screening program demonstrated high diagnostic performance for detection of type 2 or worse ROP. To our knowledge, this is the first report in the literature that evaluated the use of artificial intelligence for ROP screening and represents a proof of concept. With further prospective validation, this technology might improve the accuracy, efficiency, and objectivity of diagnosis and facilitate earlier detection of disease progression in patients with potentially blinding ROP.
Copyright © 2020 American Association for Pediatric Ophthalmology and Strabismus. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID： 32289490      PMCID： PMC7508795          DOI： 10.1016/j.jaapos.2020.01.014

Source DB:  PubMed          Journal:  J AAPOS        ISSN： 1091-8531            Impact factor:   1.220


  7 in total

Review 1.  The International Classification of Retinopathy of Prematurity revisited.

Authors: 
Journal:  Arch Ophthalmol       Date:  2005-07

2.  Telemedical evaluation and management of retinopathy of prematurity using a fiberoptic digital fundus camera.

Authors:  S D Schwartz; S A Harrison; P J Ferrone; M T Trese
Journal:  Ophthalmology       Date:  2000-01       Impact factor: 12.079

3.  Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

Authors:  Aaron S Coyner; Ryan Swan; J Peter Campbell; Susan Ostmo; James M Brown; Jayashree Kalpathy-Cramer; Sang Jin Kim; Karyn E Jonas; R V Paul Chan; Michael F Chiang
Journal:  Ophthalmol Retina       Date:  2019-01-31

4.  Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

Authors:  James M Brown; J Peter Campbell; Andrew Beers; Ken Chang; Susan Ostmo; R V Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2018-07-01       Impact factor: 7.389

5.  Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity.

Authors:  Travis K Redd; John Peter Campbell; James M Brown; Sang Jin Kim; Susan Ostmo; Robison Vernon Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang
Journal:  Br J Ophthalmol       Date:  2018-11-23       Impact factor: 4.638

6.  Telemedicine detection of type 1 ROP in a distant neonatal intensive care unit.

Authors:  Daniel T Weaver; Todd J Murdock
Journal:  J AAPOS       Date:  2012-06       Impact factor: 1.220

7.  Telemedicine approach to screening for severe retinopathy of prematurity: a pilot study.

Authors:  Anna L Ells; Jonathan M Holmes; William F Astle; Geoff Williams; David A Leske; Michael Fielden; Brad Uphill; Penny Jennett; Marilynne Hebert
Journal:  Ophthalmology       Date:  2003-11       Impact factor: 12.079
  7 in total
  8 in total

1.  Bringing Ophthalmic Graduate Medical Education into the 2020s with Information Technology.

Authors:  Emily Cole; Nita G Valikodath; April Maa; R V Paul Chan; Michael F Chiang; Aaron Y Lee; Daniel C Tu; Thomas S Hwang
Journal:  Ophthalmology       Date:  2020-12-24       Impact factor: 12.079

2.  Cost-effectiveness of Artificial Intelligence-Based Retinopathy of Prematurity Screening.

Authors:  Steven L Morrison; Dmitry Dukhovny; R V Paul Chan; Michael F Chiang; J Peter Campbell
Journal:  JAMA Ophthalmol       Date:  2022-04-01       Impact factor: 8.253

3.  Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis.

Authors:  J Peter Campbell; Michael F Chiang; Jimmy S Chen; Darius M Moshfeghi; Eric Nudleman; Paisan Ruambivoonsuk; Hunter Cherwek; Carol Y Cheung; Praveer Singh; Jayashree Kalpathy-Cramer; Susan Ostmo; Malvina Eydelman; R V Paul Chan; Antonio Capone
Journal:  Ophthalmology       Date:  2022-02-12       Impact factor: 14.277

4.  Single-Examination Risk Prediction of Severe Retinopathy of Prematurity.

Authors:  Aaron S Coyner; Jimmy S Chen; Praveer Singh; Robert L Schelonka; Brian K Jordan; Cindy T McEvoy; Jamie E Anderson; R V Paul Chan; Kemal Sonmez; Deniz Erdogmus; Michael F Chiang; Jayashree Kalpathy-Cramer; J Peter Campbell
Journal:  Pediatrics       Date:  2021-12-01       Impact factor: 9.703

5.  Applications of Artificial Intelligence for Retinopathy of Prematurity Screening.

Authors:  J Peter Campbell; Praveer Singh; Travis K Redd; James M Brown; Parag K Shah; Prema Subramanian; Renu Rajan; Nita Valikodath; Emily Cole; Susan Ostmo; R V Paul Chan; Narendran Venkatapathy; Michael F Chiang; Jayashree Kalpathy-Cramer
Journal:  Pediatrics       Date:  2021-03       Impact factor: 7.124

Review 6.  Translational Research in Retinopathy of Prematurity: From Bedside to Bench and Back Again.

Authors:  Mitsuru Arima; Yuya Fujii; Koh-Hei Sonoda
Journal:  J Clin Med       Date:  2021-01-18       Impact factor: 4.241

7.  Artificial Intelligence to Reduce Ocular Health Disparities: Moving From Concept to Implementation.

Authors:  John P Campbell; Ciku Mathenge; Hunter Cherwek; Konstantinos Balaskas; Louis R Pasquale; Pearse A Keane; Michael F Chiang
Journal:  Transl Vis Sci Technol       Date:  2021-03-01       Impact factor: 3.283

8.  Commentary: Deep learning in retinopathy of prematurity: Where do we stand?

Authors:  Parveen Sen; Arjun Bamel
Journal:  Indian J Ophthalmol       Date:  2022-04       Impact factor: 2.969
  8 in total

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