Editorial: Big data and artificial intelligence in ophthalmology
Front Med (Lausanne)
.
2023 Feb 14:10:1145522.
doi: 10.3389/fmed.2023.1145522.
eCollection 2023.
Authors
Sahil Thakur
1
,
Tyler Hyungtaek Rim
1
2
,
Darren S J Ting
3
4
5
,
Yi-Ting Hsieh
6
7
,
Tae-Im Kim
8
9
Affiliations
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.
PMID:
36865059
PMCID:
PMC9971986
DOI:
10.3389/fmed.2023.1145522
No abstract available
Keywords:
artificial intelligence; big data; deep learning; machine learning; ophthalmology.
Publication types
Editorial