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中国智能眼科发展和研究现状之我见
引用本文:龚迪,李王婷,李小萌,万程,周永进,许言午,张少冲,杨卫华. 中国智能眼科发展和研究现状之我见[J]. 国际眼科杂志, 2024, 24(3): 448-452
作者姓名:龚迪  李王婷  李小萌  万程  周永进  许言午  张少冲  杨卫华
作者单位:中国广东省深圳市眼科医院 深圳市眼病防治研究所; 中国广东省广州市,暨南大学附属第一医院眼科;中国香港特别行政区, 香港科技大学电子及计算机工程学系;中国江苏省南京市,南京航空航天大学电子信息工程学院;中国广东省深圳市,深圳大学医学部生物医学工程学院;中国广东省广州市,华南理工大学未来技术学院; 中国广东省广州市,人工智能与数字经济广东省实验室(广州
基金项目:国家自然科学基金青年科学基金项目(No.62306254); 深圳市医疗卫生三名工程项目(No.SZSM202311012); 广东省高水平临床重点专科(No.SZGSP014); 深圳市科技创新委员会可持续发展专项(No.KCXFZ20211020163813019)
摘    要:

本文分析了中国智能眼科领域的现状、技术发展、学术交流平台、政策支持以及未来的挑战和解决方案。在技术方面,中国智能眼科在糖尿病视网膜病变、眼底图像分析等多个领域取得了显著进展,包括医学人工智能产品的质量评价、临床研究方法、技术评价和产业规范等方面。研究人员通过制定一系列临床应用指南和标准,不断提升智能眼科技术的安全性和规范水平。学术交流平台的建设为多领域专业人士提供了广泛合作的机会,同时各类学术期刊也为智能眼科研究提供了发表平台。在公共政策方面,中国政府通过一系列文件和法规为智能眼科的发展创造积极的政策环境的同时,也提供了法律依据和管理框架。然而,技术创新、数据隐私与安全、法规滞后、人才短缺等问题仍然是未来发展的挑战。为了应对这些问题,未来需要加强技术研发、法规制度建设、人才培养,并提高患者对新技术的认知和接受度。通过全面解决这些挑战,中国智能眼科有望在全球范围内更进一步引领该行业的发展,为眼科医疗领域带来更多创新和便利。

关 键 词:智能眼科   图像分析   应用标准   学术交流   政策支持
收稿时间:2023-11-30
修稿时间:2024-01-18

Opinion on the development and research status of intelligent ophthalmology in China
Gong Di,Li Wangting,Li Xiaomeng,Wan Cheng,Zhou Yongjin,Xu Yanwu,Zhang Shaochong,Yang Weihua. Opinion on the development and research status of intelligent ophthalmology in China[J]. International Eye Science, 2024, 24(3): 448-452
Authors:Gong Di  Li Wangting  Li Xiaomeng  Wan Cheng  Zhou Yongjin  Xu Yanwu  Zhang Shaochong  Yang Weihua
Affiliation:Shenzhen Eye Hospital;Shenzhen Eye Institute, Shenzhen 518040, Guangdong Province, China; Department of Ophthalmology, the First Affiliated Hospital of Jinan University, Guangzhou 510632, Guangdong Province, China;Department of Electronic and Computer Engineering, the Hong Kong University of Science and Technology, Hong Kong SAR 999077, China;College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu Province, China;School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518061, Guangdong Province, China;School of Future Technology, South China University of Technology, Guangzhou 510641, Guangdong Province, China; Pazhou Lab, Guangzhou 510320, Guangdong Province, China
Abstract:This paper provides a comprehensive analysis of the current state of intelligent ophthalmology in China, including technological advancements, academic exchange platforms, policy support, future challenges, and potential solutions. Technologically, remarkable progress have been made in various areas of intelligent ophthalmology in China, including diabetic retinopathy, fundus image analysis, and crucial aspects such as quality assessment of medical artificial intelligence products, clinical research methods, technological evaluation, and industrial standards. Researchers are constantly improving the safety and standardization of intelligent ophthalmology technology by formulating clinical application guidelines and standards. Academic exchange platforms have been established to provide extensive collaboration opportunities for professionals across diverse fields, and various academic journals serve as publication platforms for intelligent ophthalmology research. Regarding public policy, the Chinese government has not only established a supportive policy environment for the advancement of intelligent ophthalmology through various documents and regulations, but provided a legal basis and management framework. However, there are still challenges to overcome, such as technological innovation, data privacy and security, outdated regulations, and talent shortages. To tackle these issues, there is a requirement for increased technological research and development, the establishment of regulatory frameworks, talent cultivation, and greater awareness and acceptance of new technologies among patients. By comprehensively addressing these challenges, intelligent ophthalmology in China is expected to continue leading the industry''s global development, bringing more innovation and convenience to the field of ophthalmic healthcare.
Keywords:intelligent ophthalmology   image analysis   application standards   academic exchange   policy support
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