RadSpeech's mobile dialogue system for radiologists

  • Authors:
  • Daniel Sonntag;Christian Schulz;Christian Reuschling;Luis Galarraga

  • Affiliations:
  • German Research Center for AI - DFKI, Saarbrücken, Germany;German Research Center for AI - DFKI, Saarbrücken, Germany;German Research Center for AI - DFKI, Saarbrücken, Germany;German Research Center for AI - DFKI, Saarbrücken, Germany

  • Venue:
  • Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
  • Year:
  • 2012

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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.