Mobile Medical Visual Information Retrieval

  • Authors:
  • Adrien Depeursinge;Samuel Duc;Ivan Eggel;Henning Muller

  • Affiliations:
  • MedGIFT Research Group, Business Information Systems, University of Applied Sciences, Valais, Switzerland;MedGIFT Research Group, Business Information Systems, University of Applied Sciences, Valais, Switzerland;MedGIFT Research Group, Business Information Systems, University of Applied Sciences, Valais, Switzerland;MedGIFT Research Group, Business Information Systems, University of Applied Sciences, Valais, Switzerland

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine
  • Year:
  • 2012

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Abstract

In this paper, we propose mobile access to peer-reviewed medical information based on textual search and content-based visual image retrieval. Web-based interfaces designed for limited screen space were developed to query via web services a medical information retrieval engine optimizing the amount of data to be transferred in wireless form. Visual and textual retrieval engines with state-of-the-art performance were integrated. Results obtained show a good usability of the software. Future use in clinical environments has the potential of increasing quality of patient care through bedside access to the medical literature in context.