人工智能和远程医疗在视网膜中的未来应用:展望。

IF 1 Q4 OPHTHALMOLOGY
Chu-Ting Wu, Ting-Yi Lin, Cheng-Jun Lin, De-Kuang Hwang
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引用次数: 1

摘要

人工智能(AI)和深度学习的发展为医学领域提供了精确的图像识别和分类。眼科是一个特殊的部门翻译人工智能应用,因为非侵入性成像通常用于诊断和监测。近年来,基于人工智能的光学相干断层扫描和眼底照片在视网膜疾病中的图像解释已经扩展到糖尿病视网膜病变、年龄相关性黄斑变性和早产儿视网膜病变。便携式眼部监测设备的快速发展,加上人工智能的解读,使视网膜疾病的家庭监测或远程监测成为可能,患者可以获得对自己病情的自主权和责任。本文综述了人工智能、远程医疗和家庭监测设备在视网膜疾病方面的研究和应用现状。此外,我们提出了人工智能和数字技术如何在视网膜疾病中实施的未来模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The future application of artificial intelligence and telemedicine in the retina: A perspective.

The future application of artificial intelligence and telemedicine in the retina: A perspective.

The future application of artificial intelligence and telemedicine in the retina: A perspective.

The development of artificial intelligence (AI) and deep learning provided precise image recognition and classification in the medical field. Ophthalmology is an exceptional department to translate AI applications since noninvasive imaging is routinely used for the diagnosis and monitoring. In recent years, AI-based image interpretation of optical coherence tomography and fundus photograph in retinal diseases has been extended to diabetic retinopathy, age-related macular degeneration, and retinopathy of prematurity. The rapid development of portable ocular monitoring devices coupled with AI-informed interpretations allows possible home monitoring or remote monitoring of retinal diseases and patients to gain autonomy and responsibility for their conditions. This review discusses the current research and application of AI, telemedicine, and home monitoring devices on retinal disease. Furthermore, we propose a future model of how AI and digital technology could be implemented in retinal diseases.

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来源期刊
CiteScore
1.80
自引率
9.10%
发文量
68
审稿时长
19 weeks
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