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中国智能眼科的发展与研究现状

Development and research status of intelligent ophthalmology in China.

作者信息

Gong Di, Li Wang-Ting, Li Xiao-Meng, Wan Cheng, Zhou Yong-Jin, Wang Shu-Jun, Wang Jian-Tao, Xu Yan-Wu, Zhang Shao-Chong, Yang Wei-Hua

机构信息

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.

出版信息

Int J Ophthalmol. 2024 Dec 18;17(12):2308-2315. doi: 10.18240/ijo.2024.12.20. eCollection 2024.

Abstract

This paper analyzes the current status, technological developments, academic exchange platforms, and future challenges and solutions in the field of intelligent ophthalmology (IO) in China. In terms of technology, significant progress has been made in various areas, including diabetic retinopathy, fundus image analysis, quality assessment of medical artificial intelligence products, clinical research methods, technical evaluation, and industry standards. Researchers continually enhance the safety and standardization of IO technology by formulating a series of clinical application guidelines and standards. The establishment of domestic and international academic exchange platforms provides extensive collaboration opportunities for professionals in various fields, and various academic journals serve as publication platforms for IO research. However, challenges such as technological innovation, data privacy and security, lagging regulations, and talent shortages still pose obstacles to future development. To address these issues, future efforts should focus on strengthening technological research and development, regulatory framework construction, talent cultivation, and increasing patient awareness and acceptance of new technologies. By comprehensively addressing these challenges, IO in China is poised to further lead the industry's development on a global scale, bringing more innovation and convenience to the field of ophthalmic healthcare.

摘要

本文分析了中国智能眼科领域的现状、技术发展、学术交流平台以及未来挑战与解决方案。在技术方面,包括糖尿病视网膜病变、眼底图像分析、医疗人工智能产品质量评估、临床研究方法、技术评估和行业标准等各个领域都取得了显著进展。研究人员通过制定一系列临床应用指南和标准,不断提高智能眼科技术的安全性和规范性。国内外学术交流平台的建立为各领域专业人士提供了广泛的合作机会,各类学术期刊成为智能眼科研究的发表平台。然而,技术创新、数据隐私与安全、监管滞后以及人才短缺等挑战仍然阻碍着未来的发展。为解决这些问题,未来应着力加强技术研发、监管框架建设、人才培养,并提高患者对新技术的认知和接受度。通过全面应对这些挑战,中国的智能眼科有望在全球范围内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。

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