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Improving Access to Eye Care Through Community Health Screenings Using Artificial Intelligence.

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  • Additional Information
    • Source:
      Publisher: Informa Healthcare Country of Publication: England NLM ID: 9435674 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1744-5086 (Electronic) Linking ISSN: 09286586 NLM ISO Abbreviation: Ophthalmic Epidemiol Subsets: MEDLINE
    • Publication Information:
      Publication: London : Informa Healthcare
      Original Publication: Buren, The Netherlands : Aeolus Press, c1994-
    • Subject Terms:
      Artificial Intelligence* ; Vision Screening*/methods ; Health Services Accessibility*/statistics & numerical data; Humans ; Prospective Studies ; Male ; Female ; Middle Aged ; Adult ; Aged ; Surveys and Questionnaires
    • Abstract:
      Purpose: To the best of our knowledge, implementation of artificial intelligence (AI)-based vision screening in community health fair settings has not been previously studied. This prospective cohort study explored the incorporation of AI in a community health fair setting to improve access to eyecare.
      Methods: Vision screening was implemented during a community health fair event using an AI-based non-mydriatic fundus camera. In addition, a questionnaire was provided to survey the various barriers to eyecare and assess eye health literacy.
      Results: A total of 53 individuals were screened at this event. Notably, about 88% of participants had follow-up appointments scheduled accordingly with an approximate 62% attendance rate. The most reported barrier to eyecare was lack of health insurance followed by transportation.
      Conclusion: The addition of AI-based vision screening in community health fairs may ultimately help improve access to eye care.
    • Contributed Indexing:
      Keywords: Eye care; artificial intelligence; community health screenings; diabetic retinopathy screening; vision screening
    • Publication Date:
      Date Created: 20240221 Date Completed: 20250207 Latest Revision: 20250207
    • Publication Date:
      20250208
    • Accession Number:
      10.1080/09286586.2024.2317838
    • Accession Number:
      38381150