弱视筛查:当前状态及优化机会。

Expert review of medical devices Pub Date : 2025-01-01 Epub Date: 2025-01-06 DOI:10.1080/17434440.2024.2449490
Jonathan Morse, Julius T Oatts
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引用次数: 0

摘要

弱视是儿童单眼视力丧失的主要原因,影响着数百万人,并且预计还会增加。早期发现和治疗对于预防视力损害至关重要。涵盖领域:本评论回顾了弱视筛查策略和技术的现状和改进机会,主要集中在美国。对组织当前指南的回顾和1999-2024年间创新的文献回顾为本评论提供了依据。组织建议对儿童进行常规视力检查,从婴儿期开始一直持续到青春期。然而,筛查设备、成分、时间表和要求的变化为改善结果留下了空间。本文将探讨一种基于仪器的筛查方法,这种方法已经成为传统光型检测的一种替代方法,并且将承认这些仪器具有高灵敏度和不同特异性的风险。最后,将讨论直接识别弱视的新方法,以及寻找显示弱视风险或弱视本身的创新生物标志物。专家意见:改善弱视的治疗需要重新设想目前将患者与护理联系起来的做法。结合新诊断方法的技术,如考虑特定的生物标志物或使用人工智能,有望识别弱视病例,而不是其风险因素。
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Amblyopia screening: the current state and opportunities for optimization.

Introduction: Amblyopia, the leading cause of monocular childhood vision loss, affects millions and is projected to increase. Early detection and treatment are crucial for preventing vision impairment.

Areas covered: This commentary reviews the current state and opportunities for improvement in amblyopia screening strategy and technology focused primarily within the United States. A review of current guidelines from organizations and a literature review of innovations between 1999 and 2024 informed this commentary. Organizations recommend routine vision screening for children, starting in infancy and continuing through adolescence. However, the variations in screening devices, components, timelines, and requirements leave room for improving outcomes. An exploration of instrument-based screening which has emerged as an alternative to traditional optotype testing will be investigated, and the risks of these instruments with high sensitivity and varying specificity will be acknowledged. Finally, new approaches to directly identify amblyopia and search for innovative biomarkers that indicate amblyopia risk or amblyopia itself will be discussed.

Expert opinion: Improving the treatment of amblyopia necessitates the reimagination of current practices in connecting patients to care. Technologies that incorporate novel diagnostic approaches, like the consideration of specific biomarkers or the use of artificial intelligence, hold promise to identify cases of amblyopia rather than its risk factors.

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