@article{785da812cf6a4500a6852f06e3c236c6,
title = "Protecting data privacy in the age of ai-enabled ophthalmology",
keywords = "Artificial Intelligence, Biomedical Ethics, Machine Learning, Privacy",
author = "{AAO Artificial Intelligence Task Force} and Elysse Tom and Keane, {Pearse A.} and Marian Blazes and Pasquale, {Louis R.} and Chiang, {Michael F.} and Lee, {Aaron Y.} and Lee, {Cecilia S.}",
note = "Funding Information: This research has been funded by National Institutes of Health Grants NIH/NEI K23EY029246, R01AG060942, R01EY015473, R01EY19474, P30EY10572, and K12EY27720 and by an unrestricted grant from Research to Prevent Blindness. The sponsors or funding organizations had no role in the design or conduct of this research. Funding Information: This research has been funded by National Institutes of Health Grants NIH/NEI K23EY029246, R01AG060942, R01EY015473, R01EY19474, P30EY10572, and K12EY27720 and by an unrestricted grant from Research to Prevent Blind-ness. The sponsors or funding organizations had no role in the design or conduct of this research.",
year = "2020",
doi = "10.1167/tvst.9.2.36",
language = "English (US)",
volume = "9",
pages = "1--7",
journal = "Translational Vision Science and Technology",
issn = "2164-2591",
publisher = "Association for Research in Vision and Ophthalmology Inc.",
number = "2",
}