A renaissance of teleophthalmology through artificial intelligence
- PMID: 30622289
- PMCID: PMC6662240
- DOI: 10.1038/s41433-018-0324-8
A renaissance of teleophthalmology through artificial intelligence
Conflict of interest statement
The authors declare that they have no conflict of interest.
Figures

References
-
- Wen JC, Lee CS, Keane PA, Xiao S, Wu Y, Rokem A, et al. Forecasting Future Humphrey Visual Fields Using Deep Learning. arXiv [cs.CV]. 2018. Available at: https://www.arxiv.org/abs/1804.04543. - PMC - PubMed
-
- De Fauw Jeffrey, Ledsam Joseph R., Romera-Paredes Bernardino, Nikolov Stanislav, Tomasev Nenad, Blackwell Sam, Askham Harry, Glorot Xavier, O’Donoghue Brendan, Visentin Daniel, van den Driessche George, Lakshminarayanan Balaji, Meyer Clemens, Mackinder Faith, Bouton Simon, Ayoub Kareem, Chopra Reena, King Dominic, Karthikesalingam Alan, Hughes Cían O., Raine Rosalind, Hughes Julian, Sim Dawn A., Egan Catherine, Tufail Adnan, Montgomery Hugh, Hassabis Demis, Rees Geraint, Back Trevor, Khaw Peng T., Suleyman Mustafa, Cornebise Julien, Keane Pearse A., Ronneberger Olaf. Clinically applicable deep learning for diagnosis and referral in retinal disease. Nature Medicine. 2018;24(9):1342–1350. doi: 10.1038/s41591-018-0107-6. - DOI - PubMed