Artificial intelligence for diagnosis of inherited retinal disease: an exciting opportunity and one step forward
Br J Ophthalmol
.
2021 Sep;105(9):1187-1189.
doi: 10.1136/bjophthalmol-2021-319365.
Epub 2021 May 24.
Authors
Tien-En Tan
1
2
3
,
Hwei Wuen Chan
4
5
,
Mandeep Singh
6
,
Tien Yin Wong
1
2
3
,
Jose S Pulido
5
,
Michel Michaelides
5
7
,
Elliott H Sohn
8
,
Daniel Ting
9
2
3
Affiliations
1
Singapore National Eye Centre, Singapore.
2
Singapore Eye Research Institute, Singapore.
3
Ophthalmology & Visual Sciences Academic Clinical Programme (EYE ACP), Duke-NUS Medical School, Singapore.
4
Department of Ophthalmology, National University of Singapore, Singapore.
5
UCL Institute of Ophthalmology, University College London, London, UK.
6
Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland, USA.
7
Moorfields Eye Hospital NHS Foundation Trust, London, UK.
8
Department of Ophthalmology, University of Iowa, Iowa City, Iowa, USA.
9
Singapore National Eye Centre, Singapore daniel.ting45@gmail.com.
PMID:
34031045
DOI:
10.1136/bjophthalmol-2021-319365
No abstract available
Keywords:
diagnostic tests/investigation; dystrophy; genetics; imaging; retina.
Publication types
Editorial
MeSH terms
Artificial Intelligence*
Humans
Retina / diagnostic imaging*
Retinal Diseases / congenital
Retinal Diseases / diagnosis*