Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study.
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%0 Journal Article
%1 journals/midm/KimHCSB21
%A Kim, Ji Hoon
%A Han, Sang Gil
%A Cho, Ara
%A Shin, Hye Jung
%A Baek, Song-Ee
%D 2021
%J BMC Medical Informatics Decis. Mak.
%K dblp
%N 1
%P 311
%T Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study.
%U http://dblp.uni-trier.de/db/journals/midm/midm21.html#KimHCSB21
%V 21
@article{journals/midm/KimHCSB21,
added-at = {2022-04-09T00:00:00.000+0200},
author = {Kim, Ji Hoon and Han, Sang Gil and Cho, Ara and Shin, Hye Jung and Baek, Song-Ee},
biburl = {https://www.bibsonomy.org/bibtex/24c66bf8532aeedac903b8220e372f9a2/dblp},
ee = {https://doi.org/10.1186/s12911-021-01679-4},
interhash = {09f46853c2e2cb9181c99d6e0fec59c8},
intrahash = {4c66bf8532aeedac903b8220e372f9a2},
journal = {BMC Medical Informatics Decis. Mak.},
keywords = {dblp},
number = 1,
pages = 311,
timestamp = {2024-04-09T01:40:01.000+0200},
title = {Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study.},
url = {http://dblp.uni-trier.de/db/journals/midm/midm21.html#KimHCSB21},
volume = 21,
year = 2021
}
