Retinoscopes: Past and present.

Mutali Musa, Ehimare Enaholo, Babatunde Ismail Bale, Carlo Salati, Leopoldo Spadea, Marco Zeppieri
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Abstract

Background: Retinoscopy is arguably the most important method in the eye clinic for diagnosing and managing refractive errors. Advantages of retinoscopy include its non-invasive nature, ability to assess patients of all ages, and usefulness in patients with limited cooperation or communication skills.

Aim: To discuss the history of retinoscopes and examine current literature on the subject.

Methods: A search was conducted on the PubMed and with the reference citation analysis (https://www.referencecitationanalysis.com) database using the term "Retinoscopy," with a range restricted to the last 10 years (2013-2023). The search string algorithm was: "Retinoscopy" (MeSH Terms) OR "Retinoscopy" (All Fields) OR "Retinoscopes" (All Fields) AND [(All Fields) AND 2013: 2023 (pdat)].

Results: This systematic review included a total of 286 records. Publications reviewed iterations of the retinoscope into autorefractors, infrared photo retinoscope, television retinoscopy, and the Wifi enabled digital retinoscope.

Conclusion: The retinoscope has evolved significantly since its discovery, with a significant improvement in its diagnostic capabilities. While it has advantages such as non-invasiveness and broad applicability, limitations exist, and the need for skilled interpretation remains. With ongoing research, including the integration of artificial intelligence, retinoscopy is expected to continue advancing and playing a vital role in eye care.

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视网膜镜:过去与现在
背景:视网膜镜检查可以说是眼科诊所诊断和管理屈光不正的最重要方法。视网膜镜检查的优点包括其非侵入性、能够评估所有年龄段的患者,以及对合作或沟通能力有限的患者非常有用。目的:讨论视网膜镜的历史,并研究当前有关该主题的文献:使用 "视网膜镜 "一词在 PubMed 和参考文献引文分析(https://www.referencecitationanalysis.com)数据库中进行了搜索,搜索范围仅限于过去 10 年(2013-2023 年)。搜索字符串算法为"视网膜镜检查"(MeSH术语)或 "视网膜镜检查"(所有字段)或 "视网膜镜"(所有字段)和[(所有字段)和2013年:2023年(pdat)]:本系统综述共纳入 286 条记录。文献回顾了视网膜镜的迭代,包括自动聚焦镜、红外光学视网膜镜、电视视网膜镜和支持 Wifi 的数字视网膜镜:视网膜镜自发现以来已经有了长足的发展,其诊断能力有了显著提高。虽然视网膜镜具有非侵入性和广泛适用性等优点,但其局限性依然存在,而且仍然需要熟练的判读能力。随着研究的不断深入,包括人工智能的整合,视网膜镜有望继续发展,并在眼科护理中发挥重要作用。
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