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ENGLISH ABSTRACT
人工智能在病理性近视眼底资料解析中的应用和展望
许迅
余奇
作者及单位信息
·
DOI： 10.3760/cma.j.issn.1005-1015.2019.05.001
Application and prospect of artificial intelligence in the analysis of fundus images of pathological myopia
Xu Xun
Yu Qi
Authors Info & Affiliations
Xu Xun
Department of Ophthalmology, The First People’s Hospital Affiliated to Shanghai Jiao Tong University, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai 200080, China
Yu Qi
·
DOI： 10.3760/cma.j.issn.1005-1015.2019.05.001
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摘要

病理性近视（PM）是眼科学领域最具研究挑战的临床病种之一，其疾病的准确定义、标准分级、发生演进机制、预防治疗策略都尚在探索研究中。人工智能的发展和应用为PM眼底病相关资料的解析提供了强力工具。通过PM患者眼底影像资料标准化采集辅助、眼底生理结构的自动化分割和定量分析、PM经典病灶的自动化检测、分析和PM临床诊疗决策辅助多个方面，人工智能使得临床医师在PM的临床工作和临床研究中获得更多、更精确的数据信息，帮助眼科医师深入理解PM的发生及演进过程。

近视，退行性;人工智能;述评
ABSTRACT

Pathological myopia is one of the most challenging clinical diseases in the field of ophthalmology. The accurate definition, standard classification, disease evolution mechanism and disease prevention and treatment strategies are still under investigation. The development and application of artificial intelligence provides a powerful tool for the analysis of pathological myopia related data. More and more accurate data information is obtained in the clinical work and clinical research of pathological myopia through the standardized collection and acquisition of the fundus image data, the automatic segmentation and quantitative analysis of the fundus physiological structure, the automatic detection and analysis of the pathological myopia classic lesions and the clinical diagnosis and treatment decision aid, which helps ophthalmologists to understand the pathogenesis and evolution of pathological myopia.

Myopia, degenerative;Artificial intelligence;Editorial
Xu Xun, Email: nc.defudabe.utjsnuxuxrd
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引用本文

许迅,余奇. 人工智能在病理性近视眼底资料解析中的应用和展望[J]. 中华眼底病杂志,2019,35(5)：427-431.

DOI:10.3760/cma.j.issn.1005-1015.2019.05.001

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近年来，随着近视患者在全球范围尤其是东亚和东南亚地区蔓延增长，高度近视及病理性近视（PM）患病率也同样逐年递增。近期荟萃分析研究数据预测，至2050年，全球人口近视的患病率将达到50%，而高度近视的患病率也将达到10%。对于PM及其相关的不可逆视力损伤的防控已经成为重要的国际公共卫生议题 [ 1 , 2 ]。
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