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山东大学学报 (医学版) ›› 2020, Vol. 58 ›› Issue (11): 11-16.doi: 10.6040/j.issn.1671-7554.0.2020.1173

• 眼科人工智能新进展专题 • 上一篇    下一篇

儿童眼病的人工智能研究进展

林浩添*(),李龙辉,陈睛晶   

  1. 中山大学中山眼科中心/眼科学国家重点实验室, 广东 广州 510060
  • 收稿日期:2020-08-17 出版日期:2020-11-10 发布日期:2020-11-04
  • 通讯作者: 林浩添 E-mail:linht5@mail.sysu.edu.cn
  • 作者简介:林浩添，中山大学中山眼科中心副主任，人工智能与大数据学科带头人，主任医师、研究员、博士研究生导师，国家优秀青年基金获得者、国家重点研发项目首席科学家、广东省医学领军人才和“特支计划”科技创新领军人才、中国五四青年奖章获得者。兼任中国人工智能学会智慧医疗专委会副主任委员、全国青联委员、中华医学会眼科分会青年委员、广东省青年科学家协会常务副会长兼秘书长。从事医疗大数据在诊疗及人工智能技术的转化应用研究。对各种常见眼病的防治具有多年临床经验，擅长白内障超声乳化联合人工晶状体植入手术，尤其对先天性白内障等儿童眼病的防治具有丰富经验。以第一作者及通讯作者发表SCI论文100多篇，涵盖了国际顶级期刊Nature、Science、Lancet、BMJ、Nature Biomedical Engineering(2017, 2019, 2020)、PLoS Med等。其中，作为第一作者研发的白内障新疗法成功应用于临床(Nature, 2016)，被Nature Medicine评为“2016年生命医学的八大突破性进展之一”;主编专著2部，参与编写专著6部，承担国家自然基金重大研究计划等10余个项目。主持研发的多项智能医疗设备和软件系统应用于临床，并获得30多项国内外专利和软件著作权
  • 基金资助:
    国家重点研发计划(2018YFC0116500);国家自然科学基金面上项目(81770967);国家自然科学基金优秀青年科学基金(81822010);广东省科技厅-广东省重点领域(2018B010109008);广东省科技创新领军人才(2017TX04R031);广东省科技计划项目-科技基础条件建设领域(2019B030316012)

Research progress of artificial intelligence in childhood eye diseases

Haotian LIN*(),Longhui LI,Jingjing CHEN   

  1. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, Guangdong, China
  • Received:2020-08-17 Online:2020-11-10 Published:2020-11-04
  • Contact: Haotian LIN E-mail:linht5@mail.sysu.edu.cn

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摘要：

儿童处于视觉系统发育的关键时期，在此期间发生眼病容易导致不可逆的视功能损伤，造成沉重的家庭和社会经济负担。早发现早治疗一直是儿童眼病防治的重点，但受限于小儿眼科医生的不足，开展大规模的筛查工作十分困难。随着数据处理技术的巨大进步，人工智能在医学领域的应用呈现指数型的增长。目前人工智能在早产儿视网膜病变(ROP)、先天性白内障、斜视、屈光不正和视功能筛查等领域已经得到广泛的研究和应用。人工智能在多种儿童眼病的早期筛查、诊断分期、治疗建议及预后预测中都有着优秀的表现。但儿童眼病的受重视程度远不及成人眼病，仍有许多问题亟待解决。

关键词: 人工智能, 机器学习, 深度学习, 儿童眼病

Abstract:

Childhood is a critical period of visual system development, during which eye diseases can easily lead to irreversible visual impairment and cause heavy family and socioeconomic burdens. Early screening and early treatment have always been essential, but due to the shortage of pediatric ophthalmologists, it is very difficult to carry out large-scale screening. With the tremendous progress of data processing technology, artificial intelligence is used greatly in the medical field. At present, artificial intelligence has been widely studied and applied in the fields of retinopathy of prematurity (ROP), congenital cataract, strabismus, refractive error and visual function screening. It has excellent performance in early screening, diagnosis and staging, treatment recommendations, and prognosis prediction of a variety of childhood eye diseases. However, childhood eye diseases are far less focused than adult eye diseases, and there are still many problems to be solved.

Key words: Artificial intelligence, Machine learning, Deep learning, Childhood eye diseases

中图分类号: 

  • R779.7
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