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RadSpeech's mobile dialogue system for radiologists

Published: 14 February 2012 Publication History

Abstract

With RadSpeech, we aim to build the next generation of intelligent, scalable, and user-friendly semantic search interfaces for the medical imaging domain, based on semantic technologies. Ontology-based knowledge representation is used not only for the image contents, but also for the complex natural language understanding and dialogue management process. This demo shows a speech-based annotation system for radiology images and focuses on a new and effective way to annotate medical image regions with a specific medical, structured, diagnosis while using speech and pointing gestures on the go.

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References

[1]
Cohen, P. R., Oviatt, S. The role of voice input for human-machine communication. Proc. Natl. Sci. USA (1995).
[2]
Sonntag D., Reithinger N., Herzog G. and Becker T. A Discourse and Dialogue Infrastructure for Industrial Dissemination. Proceedings of IWSDS, Lee et al. (Eds.): LNAI 6392, Springer (2010).
[3]
Sonntag, D. Intelligent Interaction and Incremental Knowledge Acquisition for Radiology Images. Proceedings of SAMT, Springer (2010).

Cited By

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  • (2023)Exploring the Mobile Usability of Argumentative Dialogue Systems for Opinion BuildingDesign, Operation and Evaluation of Mobile Communications10.1007/978-3-031-35921-7_9(127-143)Online publication date: 9-Jul-2023
  • (2022)XAINES: Explaining AI with NarrativesKI - Künstliche Intelligenz10.1007/s13218-022-00780-836:3-4(287-296)Online publication date: 21-Nov-2022
  • (2022)A Review of Plan-Based Approaches for Dialogue ManagementCognitive Computation10.1007/s12559-022-09996-014:3(1019-1038)Online publication date: 31-Jan-2022
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  1. RadSpeech's mobile dialogue system for radiologists

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    cover image ACM Conferences
    IUI '12: Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
    February 2012
    436 pages
    ISBN:9781450310482
    DOI:10.1145/2166966

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 February 2012

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    Author Tags

    1. healthcare
    2. mobility
    3. speech dialogue

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    Overall Acceptance Rate 746 of 2,811 submissions, 27%

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    View all
    • (2023)Exploring the Mobile Usability of Argumentative Dialogue Systems for Opinion BuildingDesign, Operation and Evaluation of Mobile Communications10.1007/978-3-031-35921-7_9(127-143)Online publication date: 9-Jul-2023
    • (2022)XAINES: Explaining AI with NarrativesKI - Künstliche Intelligenz10.1007/s13218-022-00780-836:3-4(287-296)Online publication date: 21-Nov-2022
    • (2022)A Review of Plan-Based Approaches for Dialogue ManagementCognitive Computation10.1007/s12559-022-09996-014:3(1019-1038)Online publication date: 31-Jan-2022
    • (2021)Touchless Modalities of Human-Computer Interaction in HospitalsProceedings of the XX Brazilian Symposium on Human Factors in Computing Systems10.1145/3472301.3484328(1-11)Online publication date: 18-Oct-2021
    • (2021)The interplay of a conversational ontology and AI planning for health dialogue managementProceedings of the 36th Annual ACM Symposium on Applied Computing10.1145/3412841.3441942(611-619)Online publication date: 22-Mar-2021
    • (2021)Towards Semantic-Awareness for Information Management and Planning in Health Dialogues2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)10.1109/CBMS52027.2021.00042(372-377)Online publication date: Jun-2021
    • (2021)Künstliche Intelligenz in der Medizin und Gynäkologie – Holzweg oder Heilversprechen?Artificial intelligence in medicine and gynecology—the wrong track or promise of cure?Der Gynäkologe10.1007/s00129-021-04808-2Online publication date: 6-May-2021
    • (2019)Medical and health systemsThe Handbook of Multimodal-Multisensor Interfaces10.1145/3233795.3233808(423-476)Online publication date: 1-Jul-2019
    • (2019)IntroductionThe Handbook of Multimodal-Multisensor Interfaces10.1145/3233795.3233797(1-20)Online publication date: 1-Jul-2019
    • (2019)Künstliche Intelligenz in der Medizin – Holzweg oder Heilversprechen?Artificial intelligence in medicine—the wrong track or promise of cure?HNO10.1007/s00106-019-0665-zOnline publication date: 24-Apr-2019
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