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山东大学学报 (医学版) ›› 2020, Vol. 58 ›› Issue (11): 39-44.doi: 10.6040/j.issn.1671-7554.0.2020.1256

• 眼科人工智能新进展专题 • 上一篇    下一篇

人工智能诊断系统在视网膜疾病的研究进展

曲毅*(),张焕开,宋先,初宝睿   

  1. 山东大学齐鲁医院老年医学科，山东 济南 250012
  • 收稿日期:2020-09-07 出版日期:2020-11-10 发布日期:2020-11-04
  • 通讯作者: 曲毅 E-mail:yiqucn@sdu.edu.cn
  • 作者简介:曲毅，眼科学博士，山东大学教授，博士研究生导师，齐鲁医院主任医师。担任第十一届中华医学会眼科分会青年委员，山东省研究型医院协会眼科与视觉科学分会主任委员，山东省视网膜病健康医疗大数据科技创新联盟首席专家，中华医学杂志英文版编委，Cancer、BJO、Retina等期刊审稿人。从事眼科临床工作30年，开展激光及手术治疗眼底疾病。已承担国家以及省部级科研项目20余项，以第一作者或通讯作者发表SCI论文30余篇，国内核心期刊论文30余篇。以第一完成人分别获得山东省科技进步二等奖和三等奖。主持翻译Wills眼科手册第4、5、7版，参译《RETINA》，参编多部眼科学教材和眼科学专著
  • 基金资助:
    山东大学齐鲁医学院2020年度本科教学改革与研究立项项目(qlyxjy-202012);山东省专业学位研究生教学案例库建设项目(SDYAL19007)

Research progress of artificial intelligence diagnosis system in retinal diseases

Yi QU*(),Huankai ZHANG,Xian SONG,Baorui CHU   

  1. Department of Geriatrics, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
  • Received:2020-09-07 Online:2020-11-10 Published:2020-11-04
  • Contact: Yi QU E-mail:yiqucn@sdu.edu.cn

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摘要：

视网膜疾病是人类严重视力丧失的主要原因，糖尿病视网膜病变(DR)、青光眼视网膜病变、视神经病变及年龄相关性黄斑变性(AMD)等疾病的早期筛查及按时随访是疾病防治的重点。但由于眼科医生数量有限、难以开展大规模人工筛查。人工智能(AI)技术在眼科领域的应用为解决上述难题带来曙光。本文对AI在DR、青光眼视网膜病变及视神经病变、AMD等疾病诊断中的临床应用进行综述，探讨AI诊断系统在视网膜疾病教学中的应用，并指出目前AI诊断系统面临的问题，展望其在视网膜疾病领域的应用前景。

关键词: 人工智能, 视网膜疾病, 深度学习

Abstract:

Retinal diseases are the main cause of severe vision loss in humans. Early screening and timely follow-up of diseases such as diabetic retinopathy (DR), glaucomatous retinopathy and optic neuropathy, age-related macular degeneration (AMD) are the key of disease prevention and treatment. However, due to the limited number of ophthalmologists and the high cost of manual screening, it is difficult to carry out large-scale disease screening. The application of artificial intelligence (AI) in ophthalmology has brought dawn to solve the problems. This article reviews the application of AI in the diagnosis of DR, glaucomatous retinopathy and optic neuropathy, AMD and other diseases, discusses the application of AI diagnosis system in the teaching of retinal diseases, points out the current problems of AI systems, and looks forward to its development prospects in the field of retinopathy.

Key words: Artificial intelligence, Retinal diseases, Deep learning

中图分类号: 

  • 2020-09-07
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