Keyword-augmented and semi-automatic generation of FESS reports: a proof-of-concept study - Top-Institutions - MDSpire

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

  • By

  • V. Kunz

  • V. Wildfeuer

  • R. Bieck

  • M. Sorge

  • V. Zebralla

  • A. Dietz

  • T. Neumuth

  • M. Pirlich

  • November 17, 2022

  • 0 min

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

    Cambridge, MA

    Key Differentiators

    • Artificial Intelligence
    • Machine Learning
    • Medical Informatics

  • #2

    Johns Hopkins University - Department of Otolaryngology–Head and Neck Surgery
    Johns Hopkins University - Department of Otolaryngology–Head and Neck Surgery

    Baltimore, MD

    Key Differentiators

    • Otorhinolaryngology
    • Surgical Innovation
    • Clinical AI Applications

  • #3

    Stanford University - Center for Artificial Intelligence in Medicine & Imaging (AIMI)
    Stanford University - Center for Artificial Intelligence in Medicine & Imaging (AIMI)

    Stanford, CA

    Key Differentiators

    • Medical Imaging AI
    • Natural Language Processing
    • Surgical Informatics

  • #4

    Mayo Clinic - Department of Otorhinolaryngology
    Mayo Clinic - Department of Otorhinolaryngology

    Rochester, MN

    Key Differentiators

    • Otorhinolaryngology
    • Clinical AI Implementation
    • Surgical Workflow Optimization

  • #5

    University of California, San Francisco (UCSF) - Department of Otolaryngology–Head and Neck Surgery
    University of California, San Francisco (UCSF) - Department of Otolaryngology–Head and Neck Surgery

    San Francisco, CA

    Key Differentiators

    • Otorhinolaryngology
    • AI in Surgery
    • Medical Informatics

Original Source(s)

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

  • by V. Kunz, V. Wildfeuer, R. Bieck, M. Sorge, V. Zebralla, A. Dietz, T. Neumuth, M. Pirlich

  • November 17, 2022

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