Big Data and Artificial Intelligence in Ophthalmology: Where Are We Now? - PubMed (original) (raw)

Editorial

Big Data and Artificial Intelligence in Ophthalmology: Where Are We Now?

Cecilia S Lee et al. Ophthalmol Sci. 2021.

No abstract available

PubMed Disclaimer

References

    1. Lohr S. The origins of “big data”: an etymological detective story. The New York Times. https://bits.blogs.nytimes.com/2013/02/01/the-origins-of-big-data-an-ety... Available at: Accessed 27.05.21.
    1. Buchanan B.G. A (very) brief history of artificial intelligence. AIMag. 2005;26(4) 53–53.
    1. Yanagihara R.T., Lee C.S., Ting D.S.W., Lee A.Y. Methodological challenges of deep learning in optical coherence tomography for retinal diseases: a review. Transl Vis Sci Technol. 2020;9(2):11. -PMC -PubMed
    1. Wang S.Y., Pershing S., Lee A.Y. AAO Taskforce on AI and AAO Medical Information Technology Committee. Big data requirements for artificial intelligence. Curr Opin Ophthalmol. 2020;31(5):318–323. -PMC -PubMed
    1. Chiang M.F., Sommer A., Rich W.L., et al. The 2016 American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight) database: characteristics and methods. Ophthalmology. 2018;125(8):1143–1148. -PubMed

Publication types

LinkOut - more resources