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Published on in Vol 14 (2026)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93018, first published .
Doctors reviewing brain scans on computer screens

A Multi-Model, Pixel-Native Framework for Automated Computed Tomography Series Labeling and Characterization: Proof-of-Concept Study

A Multi-Model, Pixel-Native Framework for Automated Computed Tomography Series Labeling and Characterization: Proof-of-Concept Study

Yutong Wen   1, 2 , MSc ;   Anton Sheahan Quinsten   3 , PhD ;   Cynthia Sabrina Schmidt   2, 4, 5 , MD ;   Christian Bojahr   2, 3 , MSc ;   Judith Kohnke   2, 3 , MSc ;   Kamyar Arzideh   1, 2 , MSc ;   Sina Warmer   2, 3 , MSc ;   Sebastian Blex   3 ;   Ann-Christin Jacoby   3 ;   Max Eberts   3 ;   Hanna Lehmann   3 , MD ;   Olivia Barbara Pollok   3 ;   Mathias Holtkamp   2, 3 , MD ;   Luca Salhöfer   2, 3 , MD ;   Lale Umutlu   2, 3 , MD ;   Michael Forsting   2 , MD ;   Johannes Haubold   2, 3 , MD ;   Felix Nensa   2, 3 , MD ;   Katarzyna Borys   2, 3 , MSc ;   René Hosch   2, 3 , PhD

1 Data Integration Center, Central IT Department, University Hospital Essen, Essen, Germany

2 Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany

3 Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, North Rhine-Westphalia, Germany

4 Institute for Transfusion Medicine, University Hospital Essen, Essen, Germany

5 Center of Sleep and Telemedicine, University Hospital Essen - Ruhrlandklinik, Essen, Germany

Corresponding Author:

  • René Hosch, PhD
  • Institute of Diagnostic and Interventional Radiology and Neuroradiology
  • University Hospital Essen
  • Hufelandstraße 55
  • Essen 45147
  • Germany
  • Phone: 49 2017237781
  • Email: rene.hosch@uk-essen.de