Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.

Abstract

Authors

• Jens Kübler
  Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany.
• Jan M Brendel
  Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany.
• Thomas Küstner
  Department of Radiology, Diagnostic and Interventional Radiology, Eberhard Karls University Tübingen, Germany.
• Jonathan Walterspiel
  Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany.
• Florian Hagen
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany.
• Jean-François Paul
  Institut Mutualiste Montsouris : 42 Boulevard Jourdan, 75014 Paris. Electronic address: dr.jfpaul@gmail.com.
• Konstantin Nikolaou
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany.
• Sebastian Gassenmaier
  Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
• Ilias Tsiflikas
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls University, D-72076 Tuebingen, Germany.
• Christof Burgstahler
  Department of Internal Medicine V, Sports Medicine, University of Tübingen, Tübingen, Germany.
• Simon Greulich
  Department of Internal Medicine III, Cardiology and Angiology, University of Tübingen, 72076 Germany.
• Moritz T Winkelmann
  Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076, Tübingen, Germany.
• Patrick Krumm
  Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany. Electronic address: patrick.krumm@med.uni-tuebingen.de.

Keywords

External Resources