Crowdsourcing and its applications to ophthalmology.

The aim of this study was to review the literature on the application of crowdsourcing in the field of ophthalmology. As the concept of crowdsourcing continues to receive interest, this review describes an analysis of the benefits, limitations, and future directions of crowdsourcing in the context o...

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Publicado en:Expert Review of Ophthalmology Vol. 18; no. 2; pp. 113 - 120
Autores principales: Cho, Junsang, Zhang, Wendy, Armstrong, Grayson W., Cho, Daniel, Culican, Susan M.
Formato: pictorial research systematic review Journal Article
Publicado: Taylor & Francis Ltd Apr2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2023
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      pub: Taylor & Francis Ltd
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        10.1080/17469899.2023.2200935
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        atl: Crowdsourcing and its applications to ophthalmology.
      aug:
        au:
          Cho, Junsang
          Zhang, Wendy
          Armstrong, Grayson W.
          Cho, Daniel
          Culican, Susan M.
        affil: School of Medicine, University of Missouri-Columbia, Columbia, MO, USA
      sug:
        subj:
          Crowdsourcing
          Ophthalmology
          Artificial Intelligence Utilization
          Human
          Systematic Review
          Tomography, Optical Coherence
          Data Collection
          Treatment Outcomes Evaluation
          Eye Surgery Evaluation
          PubMed
          Embase
          Cochrane Library
      ab: The aim of this study was to review the literature on the application of crowdsourcing in the field of ophthalmology. As the concept of crowdsourcing continues to receive interest, this review describes an analysis of the benefits, limitations, and future directions of crowdsourcing in the context of specific cases. A search of major research databases was performed to identify articles with specific reference to crowdsourcing within the field of ophthalmology. Seventeen total studies used crowdsourcing in a branch of ophthalmology. Crowdsourcing was used in three capacities: evaluation of ophthalmic imaging, collection of data, and assessment of surgery or surgical outcomes. Crowdsourcing holds the potential for rapid, economic data processing and reducing the task burden on experts. The main limitation of crowdsourcing is the potential for error due to inexperience of lay assessors. Crowdsourcing was applied in three capacities: evaluation of ophthalmic imaging, collection of data, and assessment of surgery or surgical outcomes. Crowdsourcing has been utilized within ophthalmology and holds potential for rapid, economical data processing and reducing task burden on experts. While the use of crowdsourcing may still be nascent, prior reports indicate promise. This report aims to show how crowdsourcing has been applied in ophthalmology. The main limitation of crowdsourcing has been the potential for error due to lay assessor inexperience, though a potential solution is to use trained assessors. We hope to highlight the past, present, and future of crowdsourcing within ophthalmology through this comprehensive review.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        systematic review
        Journal Article
      ougenre: Article
    language: English
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