关键词: Eye care artificial intelligence community health screenings diabetic retinopathy screening vision screening

来  源:   DOI:10.1080/09286586.2024.2317838

Abstract:
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: The addition of AI-based vision screening in community health fairs may ultimately help improve access to eye care.
摘要:
据我们所知,以前尚未研究在社区卫生展览会环境中实施基于人工智能(AI)的视力筛查。这项前瞻性队列研究探索了将AI纳入社区健康公平环境,以改善获得眼部护理的机会。
在社区健康博览会活动期间,使用基于AI的非散瞳眼底相机进行了视力筛查。此外,我们提供了一份问卷,以调查眼科护理的各种障碍,并评估眼科健康素养.
在此事件中总共筛选了53名个体。值得注意的是,约88%的参与者进行了相应的随访预约,出勤率约为62%。据报道,眼部护理障碍最多的是缺乏健康保险,其次是交通。
在社区卫生展览会中增加基于AI的视力筛查可能最终有助于改善获得眼部护理的机会。
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