通过眼底镜检查实现人工智能在脉络膜视网膜病理学中的应用：一项全面综述。
Artificial intelligence in chorioretinal pathology through fundoscopy: a comprehensive review.
作者信息
Driban Matthew, Yan Audrey, Selvam Amrish, Ong Joshua, Vupparaboina Kiran Kumar, Chhablani Jay
机构信息
Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Department of Medicine, West Virginia School of Osteopathic Medicine, Lewisburg, WV, USA.
出版信息
Int J Retina Vitreous. 2024 Apr 23;10(1):36. doi: 10.1186/s40942-024-00554-4.
BACKGROUND
Applications for artificial intelligence (AI) in ophthalmology are continually evolving. Fundoscopy is one of the oldest ocular imaging techniques but remains a mainstay in posterior segment imaging due to its prevalence, ease of use, and ongoing technological advancement. AI has been leveraged for fundoscopy to accomplish core tasks including segmentation, classification, and prediction.
MAIN BODY
In this article we provide a review of AI in fundoscopy applied to representative chorioretinal pathologies, including diabetic retinopathy and age-related macular degeneration, among others. We conclude with a discussion of future directions and current limitations.
SHORT CONCLUSION
As AI evolves, it will become increasingly essential for the modern ophthalmologist to understand its applications and limitations to improve patient outcomes and continue to innovate.
背景
人工智能（AI）在眼科的应用在不断发展。眼底镜检查是最古老的眼部成像技术之一，但由于其普及性、易用性和持续的技术进步，仍然是后段成像的主要手段。人工智能已被用于眼底镜检查，以完成包括分割、分类和预测在内的核心任务。
正文
在本文中，我们综述了人工智能在眼底镜检查中应用于代表性脉络膜视网膜病变的情况，包括糖尿病视网膜病变和年龄相关性黄斑变性等。我们最后讨论了未来方向和当前局限性。
简短结论
随着人工智能的发展，现代眼科医生了解其应用和局限性对于改善患者预后并持续创新将变得越来越重要。
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