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Thin client architecture in support of remote radiology learning

Publication ,  Journal Article
Schmitzberger, FF; Roos, J; Napel, S; Rubin, GD; Paik, D
Published in: Proceedings of the ACM Symposium on Applied Computing
December 1, 2009

We implemented a system for remote radiology learning which provides immediate feedback to the learner. Using a thin remote client, expert readers are asked to answer questions about specified radiological findings. These scans are presented as realtime 2D and 3D presentations which allow the user to freely manipulate them using a thin Java client with all 3D rendering performed on the server side. Answers are stored on the server and are used to provide feedback to learners who are presented with the same questions, using the remote client. Learners can practice on real datasets while receiving immediate feedback on their diagnosis and measurements. Novel concepts introduced are (1) the use of server-side rendering in radiology learning, (2) providing immediate and specific feedback to trainees, (3) the ability to provide useful feedback when a definitive gold standard does not exist and (4) a thin, highly compatible client that runs on common, existing hardware which allows to have more people participating in very complex radiological evaluations, even if there are not at the same site. Copyright 2009 ACM.

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Published In

Proceedings of the ACM Symposium on Applied Computing

DOI

Publication Date

December 1, 2009

Start / End Page

842 / 846
 

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Schmitzberger, F. F., Roos, J., Napel, S., Rubin, G. D., & Paik, D. (2009). Thin client architecture in support of remote radiology learning. Proceedings of the ACM Symposium on Applied Computing, 842–846. https://doi.org/10.1145/1529282.1529461
Schmitzberger, F. F., J. Roos, S. Napel, G. D. Rubin, and D. Paik. “Thin client architecture in support of remote radiology learning.” Proceedings of the ACM Symposium on Applied Computing, December 1, 2009, 842–46. https://doi.org/10.1145/1529282.1529461.
Schmitzberger FF, Roos J, Napel S, Rubin GD, Paik D. Thin client architecture in support of remote radiology learning. Proceedings of the ACM Symposium on Applied Computing. 2009 Dec 1;842–6.
Schmitzberger, F. F., et al. “Thin client architecture in support of remote radiology learning.” Proceedings of the ACM Symposium on Applied Computing, Dec. 2009, pp. 842–46. Scopus, doi:10.1145/1529282.1529461.
Schmitzberger FF, Roos J, Napel S, Rubin GD, Paik D. Thin client architecture in support of remote radiology learning. Proceedings of the ACM Symposium on Applied Computing. 2009 Dec 1;842–846.

Published In

Proceedings of the ACM Symposium on Applied Computing

DOI

Publication Date

December 1, 2009

Start / End Page

842 / 846