Automated spinopelvic measurements on radiographs with artificial intelligence: a multi-reader study.

Journal: La Radiologia medica
PMID: 39864034

Abstract

PURPOSE: To develop an artificial intelligence (AI) algorithm for automated measurements of spinopelvic parameters on lateral radiographs and compare its performance to multiple experienced radiologists and surgeons.

Authors

  • Boj Friedrich Hoppe
    From the Department of Radiology, University Hospital, LMU Munich.
  • Johannes Rueckel
    Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Jan Rudolph
    Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
  • Nicola Fink
    Department of Radiology, University Hospital, LMU Munich, Munich, Germany. nicola.fink@med.uni-muenchen.de.
  • Simon Weidert
    Chirurgische Klinik und Poliklinik Innenstadt, München, Germany.
  • Wolf Hohlbein
    Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.
  • Adrian Cavalcanti-Kußmaul
    Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.
  • Lena Trappmann
    From the Department of Radiology, University Hospital, LMU Munich.
  • Basel Munawwar
    Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
  • Jens Ricke
    Department of Radiology, University Hospital Munich, Germany. Electronic address: jens.ricke@med.uni-muenchen.de.
  • Bastian Oliver Sabel
    From the Department of Radiology, University Hospital, LMU Munich.

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