| 人工智能在小儿眼科领域的应用研究进展 |
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| 引用本文： | 黎彪,丁雅珺,邵毅.人工智能在小儿眼科领域的应用研究进展[J].国际眼科杂志,2020,20(8):1363-1366. |
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| 作者姓名： | 黎彪 丁雅珺 邵毅 |
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| 作者单位： | 330006 中国江西省南昌市,南昌大学第一附属医院眼科;330006 中国江西省南昌市,南昌大学第一附属医院眼科;330006 中国江西省南昌市,南昌大学第一附属医院眼科 |
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| 基金项目： | 国家自然科学基金资助(No.81660158); 江西省自然科学基金重大项目(No.20161ACB21017); 江西省青年科学基金(No.20151BAB215016); 江西省重点研发项目(No.20151BBG70223); 江西省卫计委科技计划面上项目(No.20175116) |
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| 摘 要： | 近年来人工智能(artificial intelligence，AI)技术发展迅猛，在医学领域的实践与应用为医疗行业的发展带来新可能。在普通眼科领域，基于机器学习(machine learning，ML)的人工智能技术极大提高了诊断效率，但在小儿眼科方面取得的进展较少。目前人工智能技术已运用于自动检测早产儿视网膜病变(retinopathy of prematurity，ROP)、儿童白内障，检测斜视和屈光不正，预测未来高度近视，通过眼动追踪诊断阅读障碍以及对眼科图像的研究等方面。本文对人工智能在小儿眼科的应用现状、进展与未来发展做一综述。
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| 关 键 词： | 人工智能 机器学习 自动检测 小儿眼科 眼科疾病 |
| 收稿时间： | 2019/11/4 0:00:00 |
| 修稿时间： | 2020/6/24 0:00:00 |
Research progress on application of artificial intelligence in pediatric ophthalmology |
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| Biao Li,Ya-Jun Ding and Yi Shao.Research progress on application of artificial intelligence in pediatric ophthalmology[J].International Journal of Ophthalmology,2020,20(8):1363-1366. |
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| Authors: | Biao Li Ya-Jun Ding and Yi Shao |
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| Institution: | Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China; Co-first authors:Biao Li and Ya-Jun Ding,Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China; Co-first authors:Biao Li and Ya-Jun Ding and Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China; Co-first authors:Biao Li and Ya-Jun Ding |
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| Abstract: | In recent years, artificial intelligence(AI)technology has developed rapidly, and its practice and application in the medical field have brought new possibilities to the development of the medical industry. In the field of general ophthalmology, AI technology based on machine learning(ML)has greatly improved the efficiency of diagnosis, but less progress has been made in pediatric ophthalmology. At present, AI technology has been applied to the automatic detection of retinopathy of prematurity(ROP), pediatric cataracts, inspection of strabismus and refractive error, prediction of high myopia in the future, diagnosis of dyslexia through eye tracking and research of ophthalmic images. This article reviews the current status, progress, and future development of AI in pediatric ophthalmology. |
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| Keywords: | artificial intelligence machine learning automatically detect pediatric ophthalmology ophthalmic diseases |
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