Editorial: Big data and artificial intelligence in ophthalmology

Front Med (Lausanne). 2023 Feb 14:10:1145522. doi: 10.3389/fmed.2023.1145522. eCollection 2023.

Sahil Thakur¹, Tyler Hyungtaek Rim^{1

2}, Darren S J Ting^{3

4

5}, Yi-Ting Hsieh^{6

7}, Tae-Im Kim^{8

9}

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

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