Remote Expert DVT Triaging of Novice-User Compression Sonography with AI-Guidance.

Journal: Annals of vascular surgery
Published Date:

Abstract

BACKGROUND: Compression ultrasonography of the leg is established for triaging proximal lower extremity deep vein thrombosis (DVT). AutoDVT, a machine-learning software, provides a tool for nonspecialists in acquiring compression sequences to be reviewed by an expert for patient triage. The purpose of this study was to test image acquisition and remote triaging in a clinical setting.

Authors

  • Jonas Oppenheimer
    Klinik für Radiologie, Charité Universtitätsmedizin Berlin, Berlin, Germany. Electronic address: jonas@thinksono.com.
  • Ramin Mandegaran
    Central Alberta Medical Imaging Services, Red Deer, Alberta, Canada.
  • Finja Staabs
    ThinkSono GmbH, Potsdam, Germany.
  • Andrea Adler
    Department for Emergency Medicine, Klinikum Magdeburg, Magdeburg, Germany.
  • Stephan Singöhl
    Department for Emergency Medicine, Klinikum Magdeburg, Magdeburg, Germany.
  • Bernhard Kainz
    Biomedical Image Analysis (BioMedIA) Group, Department of Computing, Imperial College London, UK.
  • Matthias Heinrich
    University of Lübeck, Institute of Medical Informatics, Lübeck, Germany.
  • George Geroulakos
    Josef Pflug Vascular Laboratory, Department of Vascular Surgery, Ealing Hospital, Middlesex, United Kingdom; Department of Surgery and Cancer, Imperial College, London, United Kingdom; Department of Vascular Surgery, Northwick Park Hospital, Middlesex, United Kingdom.
  • Stavros Spiliopoulos
    Department of Radiology, School of Medicine, University of Patras, Rion GR 26504, Greece.
  • Efthymios Avgerinos
    Department of Vascular Surgery, Attikon Hospital, University of Athens, Athens, Greece.