基于机器学习的人工智能技术在眼科中的应用进展  

Application progress in ophthalmology using artificial intelligence based on machine learning

作　　者：赵乾 沈琳琳[2] 赖铭莹[3] Qian Zhao;Lin-Lin Shen;Ming-Ying Lai(The 2rd Clinical Medical College of Jinan University,Guangzhou 510632,Guangdong Province,China;Computer Vision Institute,Shenzhen University,Shenzhen 518061,Guangdong Province,China;Shenzhen Eye Hospital,Shenzhen 518040,Guangdong Province,China)

机构地区：[1]暨南大学第二临床医学院,中国广东省广州市510632 [2]深圳大学计算机视觉研究所,中国广东省深圳市518061 [3]暨南大学附属深圳市眼科医院,中国广东省深圳市518040

出　　处：《国际眼科杂志》2018年第9期1630-1634,共5页International Eye Science

摘　　要：随着现代人工智能(artificial intelligence,AI)技术的高速发展,其在不同领域的实践和应用已逐渐开展,医学领域也不例外,基于机器学习的人工智能技术在眼科中的应用便是其中之一。许多眼部疾病的诊断很大程度上依赖于眼科辅助检查结果,而大部分眼科辅助检查都以影像学检查为主。眼部图像精细、复杂、信息量大,诊断结果常受限于医生的知识水平与临床经验,主观性较强,耗时耗力。通过与计算机相结合的机器学习的人工智能技术在眼科中的应用,极大地提高了临床工作中眼科疾病的诊断效率,减轻了眼科医生的负担。本文旨在综合国内外学者在眼科领域开展人工智能技术的基础上,系统地展示基于机器学习的人工智能技术在眼科常见病中的应用进展、实际存在问题及对未来的展望。With the rapid development of the modern artificial intelligent technology,the machine learning based artificial intelligence(AI)technology has been gradually carried out widely in many different fields including medical field and it has also shown great potential in Ophthalmology.Most diagnostics of eye diseases,to a large extent,rely on accessory examination,which mostly output the results in the form of images.However,since the ocular image is usually very fine and complex that contains amount of information,it is difficult for doctors to diagnose correctly every time and even they do,it is still subjective and time consuming.Combined with computer,the application of machine learning based AI technology can largely improve the diagnostic accuracy,ease the burden of ophthalmologists and patient.The article aims to synthesize the researches on the applications of machine learning based AI technology in ophthalmology by local and foreign scholars and give a review on the progress,existing problems and personal future outlook.

关 键 词：人工智能 机器学习 眼科 糖尿病视网膜病变 青光眼 白内障 

分 类 号：R77[医药卫生—眼科] TP18[医药卫生—临床医学]