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中华眼科医学杂志(电子版) ›› 2018, Vol. 08 ›› Issue (06) : 270 -275. doi: 10.3877/cma.j.issn.2095-2007.2018.06.005

所属专题： 人工智能； 文献；

综述

人工智能技术溯源、医学应用及其在眼科前节疾病的应用现状与展望
杨倩1, 刘万阳2, 吕世华1, 曲利军1,†()   
  1. 1. 150086　哈尔滨医科大学附属第二医院眼科
    2. 150086　哈尔滨医科大学医学史教研室
  • 收稿日期:2018-11-08 出版日期:2018-12-28
  • 通信作者: 曲利军
  • 基金资助:
    黑龙江省自然科学基金面上项目(H2013105)

Development of artificial intelligence technology, medical application and its application status and prospect in anterior ocular segment diseases

Qian Yang1, Wanyang Liu2, Shihua Lu1, Lijun Qu1,†()   

  1. 1. Department of Ophthalmology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
    2. Department of Medical History, Harbin Medical University, Harbin 150086, China
  • Received:2018-11-08 Published:2018-12-28
  • Corresponding author: Lijun Qu
  • About author:
    Correspondence author: Qu Lijun, Email:
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引用本文：

杨倩, 刘万阳, 吕世华, 曲利军. 人工智能技术溯源、医学应用及其在眼科前节疾病的应用现状与展望[J]. 中华眼科医学杂志(电子版), 2018, 08(06): 270-275.

Qian Yang, Wanyang Liu, Shihua Lu, Lijun Qu. Development of artificial intelligence technology, medical application and its application status and prospect in anterior ocular segment diseases[J]. Chinese Journal of Ophthalmologic Medicine(Electronic Edition), 2018, 08(06): 270-275.

近年来人工智能飞速发展，为许多领域带来技术上的革新。它在医学领域也表现出了极大的发展潜力，人工智能辅助下对某些疾病影像的判读与诊断，表现出出色的特异性和准确性可以媲美人类专家。而眼科是一门高度依赖影像学检查的学科，如眼底照相、光学相干断层扫描(OCT)、角膜地形图等都适合进行机器学习。因此，许多学者致力于人工智能在眼科领域应用的研究。目前，大多数研究都集中于视网膜疾病，而对眼前节疾病研究尚少，故笔者拟对人工智能在眼前节疾病中的应用现状进行综述。

关键词: 人工智能, 圆锥角膜, 翼状胬肉, 青光眼, 白内障

The rapid development of artificial intelligencein recent years has brought technological innovation to many fields. Artificial intelligence has shown great potential in the field of medicine. The specificity and accuracy of image interpretation and diagnosis assisted by artificial intelligence in some areas of diseases are comparable to human experts. Ophthalmology is a highly imaging-depended subject, such as fundus photography, optical coherence tomography, corneal topography, and so on, which is suitable for machine learning. Therefore many scholars are devoted to the application of artificial intelligence in ophthalmology. At present, most studies focus on retinal diseases. However in outpatient work, the number of patients with anterior ocular segment diseases is far more than that of patients with fundus diseases. This article aims to review the application of artificial intelligence in anterior ocular segment diseases.

Key words: Artificial Intelligence, Keratoconus, Pterygium, Glaucoma, Cataract
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