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Abstract：
Artificial intelligence (AI) is an emerging field which could make an intelligent healthcare model a reality and has been garnering traction in the field of medicine, with promising results. There have been recent developments in machine learning and/or deep learning algorithms for applications in ophthalmology-primarily for diabetic retinopathy, and age-related macular degeneration. However, AI research in the field of cornea diseases is relatively new. Algorithms have been described to assist clinicians in diagnosis or detection of cornea conditions such as keratoconus, infectious keratitis and dry eye disease. AI may also be used for segmentation and analysis of cornea imaging or tomography as an adjunctive tool. Despite the potential advantages that these new technologies offer, there are challenges that need to be addressed before they can be integrated into clinical practice. In this review, we aim to summarize current literature and provide an update regarding recent advances in AI technologies pertaining to corneal diseases, and its potential future application, in particular pertaining to image analysis.
摘要：
人工智能（AI）是一个新兴领域，可以使智能医疗模型成为现实，并一直在医学领域获得牵引力，有希望的结果。机器学习和/或深度学习算法在眼科应用中的最新进展-主要是糖尿病性视网膜病变。和年龄相关性黄斑变性。然而,角膜疾病领域的AI研究相对较新。已经描述了算法来帮助临床医生诊断或检测角膜状况，例如圆锥角膜，感染性角膜炎和干眼病。AI还可以作为辅助工具用于角膜成像或断层摄影的分割和分析。尽管这些新技术具有潜在的优势，在将其纳入临床实践之前，需要解决一些挑战。在这次审查中,我们的目标是总结当前的文献，并提供有关与角膜疾病有关的AI技术的最新进展的最新信息。及其潜在的未来应用，特别是关于图像分析。
