利用人工智能通过社区健康筛查改善眼科保健的可及性。

IF 1.7 4区医学 Q3 OPHTHALMOLOGY Ophthalmic epidemiology Pub Date : 2025-02-01 Epub Date: 2024-02-21 DOI:10.1080/09286586.2024.2317838

Bhakti Panchal, Samuel Asanad, Rana Malek, Kashif Munir, Lisa S Schocket

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引用次数: 0

摘要

目的：据我们所知，在社区健康集市环境中实施基于人工智能（AI）的视力筛查的研究以前从未有过。这项前瞻性队列研究探讨了在社区健康展中融入人工智能技术，以改善人们获得眼科保健服务的机会：方法：在社区健康展活动期间，使用基于人工智能的非眼底照相机进行视力筛查。此外，还提供了一份调查问卷，以调查获得眼科保健服务的各种障碍，并评估眼科保健知识：结果：此次活动共筛查了 53 人。值得注意的是，约 88% 的参与者都安排了相应的复诊预约，就诊率约为 62%。据报告，接受眼科检查的最大障碍是缺乏医疗保险，其次是交通问题：结论：在社区健康展中增加人工智能视力筛查，最终可能有助于改善眼科保健的可及性。

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

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.

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来源期刊

Ophthalmic epidemiology 医学-眼科学

CiteScore

3.70

自引率

5.60%

发文量

审稿时长

6-12 weeks

期刊介绍： Ophthalmic Epidemiology is dedicated to the publication of original research into eye and vision health in the fields of epidemiology, public health and the prevention of blindness. Ophthalmic Epidemiology publishes editorials, original research reports, systematic reviews and meta-analysis articles, brief communications and letters to the editor on all subjects related to ophthalmic epidemiology. A broad range of topics is suitable, such as: evaluating the risk of ocular diseases, general and specific study designs, screening program implementation and evaluation, eye health care access, delivery and outcomes, therapeutic efficacy or effectiveness, disease prognosis and quality of life, cost-benefit analysis, biostatistical theory and risk factor analysis. We are looking to expand our engagement with reports of international interest, including those regarding problems affecting developing countries, although reports from all over the world potentially are suitable. Clinical case reports, small case series (not enough for a cohort analysis) articles and animal research reports are not appropriate for this journal.