Keyword-augmented and semi-automatic generation of FESS reports: a proof-of-concept study.

Journal: International journal of computer assisted radiology and surgery
Published Date: Nov 17, 2022

Abstract

INTRODUCTION: Surgical reports are usually written after a procedure and must often be reproduced from memory. Thus, this is an error-prone, and time-consuming task which increases the workload of physicians. In this proof-of-concept study, we developed and evaluated a software tool using Artificial Intelligence (AI) for semi-automatic intraoperative generation of surgical reports for functional endoscopic sinus surgery (FESS).

Authors

  • V Kunz
    Department of Otolaryngology, Head and Neck Surgery, University Hospital Leipzig, Liebigstraße 10-14, 04103, Leipzig, Germany. Viktor.Kunz@medizin.uni-leipzig.de.
  • V Wildfeuer
    Department of Otolaryngology, Head and Neck Surgery, University Hospital Leipzig, Liebigstraße 10-14, 04103, Leipzig, Germany.
  • R Bieck
    Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
  • M Sorge
    Department of Otolaryngology, Head and Neck Surgery, University Hospital Leipzig, Liebigstraße 10-14, 04103, Leipzig, Germany.
  • V Zebralla
    Department of Otolaryngology, Head and Neck Surgery, University Hospital Leipzig, Liebigstraße 10-14, 04103, Leipzig, Germany.
  • A Dietz
    Department of Otolaryngology, Head and Neck Surgery, University Hospital Leipzig, Liebigstraße 10-14, 04103, Leipzig, Germany.
  • T Neumuth
    Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.
  • M Pirlich
    Department of Otolaryngology, Head and Neck Surgery, University Hospital Leipzig, Liebigstraße 10-14, 04103, Leipzig, Germany.

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