Artificial intelligence in ophthalmological practice: when ideal meets reality
BMJ Open Ophthalmol
.
2023 Jun;8(1):e001129.
doi: 10.1136/bmjophth-2022-001129.
Epub 2023 Jun 7.
Authors
Ludwig M Heindl
1
,
Senmao Li
2
3
,
Daniel S W Ting
4
5
,
Pearse A Keane
6
Affiliations
1
Department of Ophthalmology, University of Cologne, Koln, Germany Ludwig.heindl.BJO@gmail.com.
2
Department of Ophthalmology, University of Cologne, Koln, Germany.
3
Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
4
Singapore National Eye Center, Duke-NUS Medical School, Singapore.
5
Ophthalmology and Visual Sciences Department, Duke-NUS Medical School, Singapore.
6
Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
PMID:
37493688
PMCID:
PMC10255244
DOI:
10.1136/bmjophth-2022-001129
No abstract available
Keywords:
diagnostic tests/investigation; imaging; public health; retina; telemedicine.
Publication types
Editorial
MeSH terms
Artificial Intelligence
Ophthalmology*
Telemedicine*
Grants and funding
MC_PC_19005/MRC_/Medical Research Council/United Kingdom
MR/T019050/1/MRC_/Medical Research Council/United Kingdom