@article{9bd354e72b7949a092ef9c0ee571e3ec,
title = "Artificial intelligence platform demonstrates high adherence in patients receiving fixed-dose ledipasvir and sofosbuvir: A pilot study",
abstract = "This study evaluated health outcomes among people who inject drugs who are infected with hepatitis C virus using an artificial intelligence platform. Mean (SD) cumulative adherence (visual confirmation of administration) was 91.3% (10.5%). Most subjects (88.2%) achieved ≥80% adherence to treatment, and 88.2% (15 of 17) achieved a sustained virologic response.",
keywords = "Adherence, HCV, PWID",
author = "Litwin, {Alain H.} and Laura Shafner and Brianna Norton and Akiyama, {Matthew J.} and Linda Agyemang and Mercedes Guzman and Tatiana Vera and Moonseong Heo",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com",
year = "2020",
month = aug,
day = "1",
doi = "10.1093/ofid/ofaa290",
language = "English (US)",
volume = "7",
journal = "Open Forum Infectious Diseases",
issn = "2328-8957",
publisher = "Oxford University Press",
number = "8",
}
