Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans.

Saved in:
Bibliographic Details
Title: Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans.
Authors: Riedel EO; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany. evamaria.riedel@tum.de., Schinz D; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; Institute of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany., Keicher M; Computer-Aided Medical Procedures, Technical University of Munich, Munich, Germany., Rühling S; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany., El Husseini M; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany., Pellegrini C; Computer-Aided Medical Procedures, Technical University of Munich, Munich, Germany., Baum T; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany., Dieckmeyer M; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; Department of Diagnostic, Interventional, and Pediatric Radiology, Inselspital, University of Bern, Bern, Switzerland., Malagutti L; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany., Seeger I; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany., Walburga AS; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany., Wiestler B; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; TranslaTUM-Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany.; AI for Image-Guided Diagnosis and Therapy, School of Medicine and Health, Technical University of Munich, Munich, Germany., Sollmann N; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.; Department of Nuclear Medicine, University Hospital Ulm, Ulm, Germany.; TUM-Neuroimaging Center, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany., Löffler MT; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.; Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg, Germany., Wagner A; Department of Neurosurgery, University Hospital, Technical University Munich School of Medicine, Munich, Germany., Kirschke JS; Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Source: European radiology [Eur Radiol] 2026 Feb 24. Date of Electronic Publication: 2026 Feb 24.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1084
DOI:10.1007/s00330-026-12393-y