医疗和视觉层层人工智能

Heinrich Aderneuer
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摘要

目的。本文旨在评估基于人工智能的远程医疗模式或检查和预防模式是否为德国验光师提供了一个机会,以提高他们作为视力保健提供者的地位,并在德国提供更好的眼科保健。材料和方法。进行了系统的文献综述和专家调查。讨论了深度学习视觉筛查在青光眼、老年性黄斑变性、糖尿病视网膜病变等领域的应用研究结果及专家访谈结果。结果。研究结果和专家访谈表明,在远程医疗网络中,验光师和眼科医生之间的合作是改善人口眼科保健和减轻眼科医生日常工作的重要工具。德国验光师和眼科医生之间的第一个远程医疗合作项目展示了成功的合作。结论。人工智能(AI)正越来越多地进入视觉筛查领域。远程医疗和电子病历发挥着独特的作用。他们使德国验光师能够确保和扩大在验光领域的高质量服务。关键词远程医疗人工智能视力筛查年龄相关性黄斑变性糖尿病视网膜病变
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Telemedizin und künstliche Intelligenz im Zusammenhang mit Augenscreening
Purpose. This paper aims to evaluate whether telemedical models or examination and prevention models based on artificial intelligence offer German optometrists a chance to increase their status as vision care providers and to provide better eye care in Germany. Material and Methods. Both a systematic literature review and an expert survey were conducted. Study results of deep learning vision screening applications in the fields of glauco- ma, age-related macular degeneration, and diabetic retino- pathy as well results of expert interviews are discussed. Results. The study results and expert interviews demonstrate that cooperation between optometrists and ophthalmologists in a telemedical network is an essential tool for improving the eye health care of the population and relieves ophthalmo- logists of routine tasks. The first telemedical cooperative pro- gram between German optometrists and ophthalmologists demonstrates a successful cooperation. Conclusion. Artificial intelligence (AI) is increasingly finding its way into the field of vision screening. Telemedicine and the electronic patient medical record play a unique role. They en- able German optometrists to secure and expand high-quality service offerings in the field of optometry. Keywords telemedicine, artificial intelligence, vision screening, age- related macular degeneration diabetic retinopathy
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