Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations.

Journal: Academic radiology
Published Date: May 18, 2023

Abstract

RATIONALE AND OBJECTIVES: Finding comparison to relevant prior studies is a requisite component of the radiology workflow. The purpose of this study was to evaluate the impact of a deep learning tool simplifying this time-consuming task by automatically identifying and displaying the finding in relevant prior studies.

Authors

  • Thomas Weikert
    From the Department of Radiology, University Hospital Basel, Basel, Switzerland.
  • Harold I Litt
    Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA (H.I.L., M.A., A.M.N., N.L.).
  • William H Moore
    Department of Radiology, NYU Langone Health, New York, New York.
  • Mohammed Abed
    Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA (H.I.L., M.A., A.M.N., N.L.).
  • Lea Azour
    Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, United States of America. Electronic address: Lea.Azour@nyulangone.org.
  • Abass M Noor
    Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA (H.I.L., M.A., A.M.N., N.L.).
  • Liene Friebe
    University Hospital Basel, Department of Radiology, University of Basel, Petersgraben 4, 4031 Basel, Switzerland (T.W., L.F., A.W.S.).
  • Nathaniel Linna
    Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA. Electronic address: Nathaniel.Linna@pennmedicine.upenn.edu.
  • Halid Ziya Yerebakan
    Siemens Medical Solutions USA, 40 Liberty Blvd, Malvern, PA 19355 (H.Z.Y., Y.S., G.H., S.A.-R., M.R.).
  • Yoshihisa Shinagawa
  • Gerardo Hermosillo
    SYNGO division, Siemens Medical Solutions, Malvern 19355, USA. Electronic address: gerardo.hermosillovaladez@siemens-healthineers.com.
  • Simon Allen-Raffl
    Siemens Medical Solutions USA, 40 Liberty Blvd, Malvern, PA 19355 (H.Z.Y., Y.S., G.H., S.A.-R., M.R.).
  • Mahesh Ranganath
    SYNGO division, Siemens Medical Solutions, Malvern 19355, USA. Electronic address: r.mahesh@siemens-healthineers.com.
  • Alexander W Sauter
    University of Basel, University Hospital Basel, Radiology and Nuclear Medicine Clinic, Basel, Switzerland.

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