Prototyping Semantic Dialogue Systems for Radiologists
D. Sonntag, und M. Möller. Proceedings of the Sixth International Conference on Intelligent Environments (IE 2010), Kuala Lumpur, Malaysia, Seite 84--89. Los Alamitos, CA, IEEE Computer Society CPS, (2010)
DOI: 10.1109/IE.2010.23
Zusammenfassung
In the future, speech-based semantic image retrieval and annotation of medical images should provide the basis for clinical decision support and help in computer aided diagnosis. In this paper, we describe today's clinical workflow and interaction requirements and present a semantic dialogue system installation for radiologists. Our research focus is on the interaction design in combination with the implementation of our prototype system for patient image search and image annotation while using a speech based dialogue shell and a big touchscreen in the radiology environment. Ontology modeling provides the backbone for knowledge representation in the dialogue shell and the specific medical application domain.
%0 Conference Paper
%1 SonntagMoeller10IE
%A Sonntag, Daniel
%A Möller, Manuel
%B Proceedings of the Sixth International Conference on Intelligent Environments (IE 2010), Kuala Lumpur, Malaysia
%C Los Alamitos, CA
%D 2010
%E Callaghan, Vic
%E Kameas, Achilles
%E Egerton, Simon
%E Satoh, Ichiro
%E Weber, Michael
%I IEEE Computer Society CPS
%K v1500 paper ieee ai dfki semantic web user interface multimodal dialog interaction language processing image analysis health zzz.sw zzz.mmi
%P 84--89
%R 10.1109/IE.2010.23
%T Prototyping Semantic Dialogue Systems for Radiologists
%X In the future, speech-based semantic image retrieval and annotation of medical images should provide the basis for clinical decision support and help in computer aided diagnosis. In this paper, we describe today's clinical workflow and interaction requirements and present a semantic dialogue system installation for radiologists. Our research focus is on the interaction design in combination with the implementation of our prototype system for patient image search and image annotation while using a speech based dialogue shell and a big touchscreen in the radiology environment. Ontology modeling provides the backbone for knowledge representation in the dialogue shell and the specific medical application domain.
@inproceedings{SonntagMoeller10IE,
abstract = {In the future, speech-based semantic image retrieval and annotation of medical images should provide the basis for clinical decision support and help in computer aided diagnosis. In this paper, we describe today's clinical workflow and interaction requirements and present a semantic dialogue system installation for radiologists. Our research focus is on the interaction design in combination with the implementation of our prototype system for patient image search and image annotation while using a speech based dialogue shell and a big touchscreen in the radiology environment. Ontology modeling provides the backbone for knowledge representation in the dialogue shell and the specific medical application domain.},
added-at = {2012-05-30T10:54:23.000+0200},
address = {Los Alamitos, CA},
author = {Sonntag, Daniel and M\"{o}ller, Manuel},
biburl = {https://www.bibsonomy.org/bibtex/2c2860a1bb13ee93a8b8f02a3dbaac6c2/flint63},
booktitle = {Proceedings of the Sixth International Conference on Intelligent Environments (IE 2010), Kuala Lumpur, Malaysia},
crossref = {IE2010},
doi = {10.1109/IE.2010.23},
editor = {Callaghan, Vic and Kameas, Achilles and Egerton, Simon and Satoh, Ichiro and Weber, Michael},
file = {Electronic Proceedings:2010/SonntagMoeller10IE.pdf:PDF},
groups = {public},
interhash = {6bd95b834e87cc97c2f0a2622310ec81},
intrahash = {db805ed4318d5504c5e8792d564401cb},
keywords = {v1500 paper ieee ai dfki semantic web user interface multimodal dialog interaction language processing image analysis health zzz.sw zzz.mmi},
pages = {84--89},
publisher = {IEEE Computer Society CPS},
timestamp = {2016-05-17T17:10:17.000+0200},
title = {Prototyping Semantic Dialogue Systems for Radiologists},
username = {flint63},
year = 2010
}