TY - JOUR
T1 - Development and research status of intelligent ophthalmology in China
AU - Gong, Di
AU - Li, Wang Ting
AU - Li, Xiao Meng
AU - Wan, Cheng
AU - Zhou, Yong Jin
AU - Wang, Shu Jun
AU - Wang, Jian Tao
AU - Xu, Yan Wu
AU - Zhang, Shao Chong
AU - Yang, Wei Hua
N1 - Publisher Copyright:
© 2024 International Journal of Ophthalmology (c/o Editorial Office). All rights reserved.
PY - 2024/12/18
Y1 - 2024/12/18
N2 - • 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.
AB - • 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.
KW - academic exchange
KW - image analysis
KW - intelligent ophthalmology
UR - https://www.scopus.com/pages/publications/85210320326
U2 - 10.18240/ijo.2024.12.20
DO - 10.18240/ijo.2024.12.20
M3 - Review article
AN - SCOPUS:85210320326
SN - 2222-3959
VL - 17
SP - 2308
EP - 2315
JO - International Journal of Ophthalmology
JF - International Journal of Ophthalmology
IS - 12
ER -