Interactive paper for radiology findings

  • Authors:
  • Daniel Sonntag;Marcus Liwicki;Markus Weber

  • Affiliations:
  • German Research Center for AI (DFKI), 66123 Saarbrücken, Germany;German Research Center for AI (DFKI), 67663 Kaiserslautern, Germany;German Research Center for AI (DFKI), 67663 Kaiserslautern, Germany

  • Venue:
  • Proceedings of the 16th international conference on Intelligent user interfaces
  • Year:
  • 2011

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Abstract

This paper presents a pen-based interface for clinical radiologists. It is of utmost importance in future radiology practices that the radiology reports be uniform, comprehensive, and easily managed. This means that reports must be "readable" to humans and machines alike. In order to improve reporting practices, we allow the radiologist to write structured reports with a special pen on normal paper. A handwriting recognition and interpretation software takes care of the interpretation of the written report which is transferred into an ontological representation. The resulting report is then stored in a semantic backend system for further use. We will focus on the pen-based interface and new interaction possibilities with gestures in this scenario.