This paper is in the following e-collection/theme issue:

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Crowdsourcing and Mechanical Turks (98)

Published on in Vol 16, No 10 (2014): October

Rapid Grading of Fundus Photographs for Diabetic Retinopathy Using Crowdsourcing

Rapid Grading of Fundus Photographs for Diabetic Retinopathy Using Crowdsourcing

Rapid Grading of Fundus Photographs for Diabetic Retinopathy Using Crowdsourcing

Authors of this article:

Christopher J Brady1, 2 Author Orcid Image ;   Andrea C Villanti3 Author Orcid Image ;   Jennifer L Pearson3 Author Orcid Image ;   Thomas R Kirchner3 Author Orcid Image ;   Omesh P Gupta1 Author Orcid Image ;   Chirag P Shah4 Author Orcid Image
Article Authors Cited by (47) Tweetations (8) Metrics

Journals

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  19. Srinivasan S, Shetty S, Natarajan V, Sharma T, Raman R, Bhattacharya S. Development and Validation of a Diabetic Retinopathy Referral Algorithm Based on Single-Field Fundus Photography. PLOS ONE 2016;11(9):e0163108 View
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  21. Wang X, Mudie L, Brady C. Crowdsourcing. Current Opinion in Ophthalmology 2016;27(3):256 View
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  25. Murchison A, Haller J, Mayro E, Hark L, Gower E, Huisingh C, Rhodes L, Friedman D, Lee D, Lam B. Reaching the Unreachable: Novel Approaches to Telemedicine Screening of Underserved Populations for Vitreoretinal Disease. Current Eye Research 2017;42(7):963 View
  26. Kuang J, Argo L, Stoddard G, Bray B, Zeng-Treitler Q. Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches. Journal of Medical Internet Research 2015;17(12):e281 View
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  29. Juni M, Eckstein M. The wisdom of crowds for visual search. Proceedings of the National Academy of Sciences 2017;114(21) View
  30. Meyer A, Longhurst C, Singh H. Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed. Journal of Medical Internet Research 2016;18(1):e12 View
  31. Ausayakhun S, Snyder B, Ausayakhun S, Nanegrungsunk O, Apivatthakakul A, Narongchai C, Melo J, Keenan J. Clinic-Based Eye Disease Screening Using Non-Expert Fundus Photo Graders at the Point of Screening: Diagnostic Validity and Yield. American Journal of Ophthalmology 2021;227:245 View
  32. Karani R, Tapiero S, Jefferson F, Vernez S, Xie L, Larson K, Osann K, Okhunov Z, Patel R, Landman J, Clayman R, Stephany H. Crowd-Sourced Assessment of Surgical Skills of Urology Resident Applicants: Four-Year Experience. Journal of Surgical Education 2021;78(6):2030 View
  33. Sonabend A, Zacharia B, Cloney M, Sonabend A, Showers C, Ebiana V, Nazarian M, Swanson K, Baldock A, Brem H, Bruce J, Butler W, Cahill D, Carter B, Orringer D, Roberts D, Sagher O, Sanai N, Schwartz T, Silbergeld D, Sisti M, Thompson R, Waziri A, Ghogawala Z, McKhann G. Defining Glioblastoma Resectability Through the Wisdom of the Crowd: A Proof-of-Principle Study. Neurosurgery 2017;80(4):590 View
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  36. Harrington K, Zenk S, Van Horn L, Giurini L, Mahakala N, Kershaw K. The Use of Food Images and Crowdsourcing to Capture Real-time Eating Behaviors: Acceptability and Usability Study. JMIR Formative Research 2021;5(12):e27512 View
  37. Abousy M, Jenny H, Xun H, Khavanin N, Creighton F, Byrne P, Cooney D, Redett R, Yang R. Personality, Success, and Beyond: The Layperson's Perception of Patients With Facial Transplantation. Journal of Craniofacial Surgery 2022;33(2):385 View
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