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Implementation science: web application

JC Jeff Choi
JH James Z Hui
DS David Spain
YS Yi-Siang Su
CC Chi-Tung Cheng
CL Chien-Hung Liao
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We integrated the final algorithm within a web application to detect hip fractures. When clinicians upload a PXR reference image (eg, screenshot, JPEG, smartphone photo), the probability of the image containing a hip fracture and a heatmap localizing the fracture location would be displayed. We used R V.3.6.3 (R Core Team, Vienna, Austria) to conduct statistical analysis.

Copyright and License information:  ©2021-04-07 Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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