Editorial: Big data and artificial intelligence in ophthalmology - clinical application and future exploration

Front Med (Lausanne). 2023 Dec 6:10:1339280. doi: 10.3389/fmed.2023.1339280. eCollection 2023.

Yong Yu Tan¹, Tyler Hyungtaek Rim^{2

3}, Darren S J Ting^{4

5

6}, Yi-Ting Hsieh^{7

8}, Tae-Im Kim^{9

10}

¹ Cork University Hospital, Cork, Ireland.
² Department of Ocular Epidemiology, Singapore Eye Research Institute, Singapore, Singapore.
³ Mediwhale Inc., Seoul, Republic of Korea.
⁴ Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
⁵ Birmingham and Midland Eye Centre, Birmingham, United Kingdom.
⁶ Academic Ophthalmology, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
⁷ Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.
⁸ Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Taiwan.
⁹ Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
¹⁰ Department of Ophthalmology, Corneal Dystrophy Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.

No abstract available

Keywords: artificial intelligence; big data; deep learning; machine learning; ophthalmology.

Publication types

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.