关键词: Anterior chamber angle Anterior segment Artificial intelligence Cataract Cornea Deep learning Machine learning Refractive error Refractive surgery

来  源:   DOI:10.1007/s40123-023-00690-4   PDF(Pubmed)

Abstract:
Artificial intelligence (AI) technology is promising in the field of healthcare. With the developments of big data and image-based analysis, AI shows potential value in ophthalmology applications. Recently, machine learning and deep learning algorithms have made significant progress. Emerging evidence has demonstrated the capability of AI in the diagnosis and management of anterior segment diseases. In this review, we provide an overview of AI applications and potential future applications in anterior segment diseases, focusing on cornea, refractive surgery, cataract, anterior chamber angle detection, and refractive error prediction.
摘要:
人工智能(AI)技术在医疗保健领域很有前途。随着大数据和基于图像的分析的发展,AI在眼科应用中显示出潜在价值。最近,机器学习和深度学习算法取得了重大进展。新的证据已经证明了AI在诊断和治疗眼前节疾病中的能力。在这次审查中,我们概述了人工智能在眼前段疾病中的应用和潜在的未来应用,专注于角膜,屈光手术,白内障,前房角检测,和屈光不正预测。
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