Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.

Abstract

Authors

• Aurelien Cagnina
  Cardiology Department, University Hospital of Lausanne and University of Lausanne, Rue de Bugnon 46, Lausanne, 1011, Switzerland.
• Adil Salihu
  Cardiology Department, University Hospital of Lausanne and University of Lausanne, Rue de Bugnon 46, Lausanne, 1011, Switzerland.
• David Meier
  Cardiology Department, Lausanne University Center Hospital, Lausanne, Switzerland.
• Wongsakorn Luangphiphat
  Cardiology Department, University Hospital of Lausanne and University of Lausanne, Rue de Bugnon 46, Lausanne, 1011, Switzerland.
• Benjamin Faltin
  Institute of Mathematics, School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland.
• Ioannis Skalidis
  Interdisciplinary Research Center HALOmem, Charles Tanford Protein Center, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Straße 3a, 06120 Halle/Saale, Germany; Institute of Biochemistry and Biotechnology, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Straße 3, 06120 Halle/Saale, Germany.
• Aurelia Zimmerli
  Cardiology Department, University Hospital of Lausanne and University of Lausanne, Rue de Bugnon 46, Lausanne, 1011, Switzerland.
• David Rotzinger
  Radiology Department, University Hospital of Lausanne, Lausanne, Switzerland.
• Salah Dine Qanadli
  Radiology Department, University Hospital of Lausanne, Lausanne, Switzerland.
• Olivier Muller
  Cardiology Department, Lausanne University Center Hospital, Lausanne, Switzerland.
• Emmanuel Abbe
  PACM and Department of EE, Princeton University, Princeton, NJ 08544, USA.
• Stephane Fournier
  Cardiology Department, Lausanne University Center Hospital, Lausanne, Switzerland stephane.fournier@chuv.ch emmanuel.abbe@epfl.ch.

Keywords

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