On Assessing Trustworthy AI in Healthcare: Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
Document Type
Article
Publication Date
7-8-2021
Recommended Citation
Roberto Zicari, James Brusseau, Stig Blomberg, Helle Christensen, Megan Coffee, Marianna Ganapini, Sara Gerke, Thomas Gilbert, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Ulrich Kühne, Vince Madai, Walter Osika, Andy Spezzatti, Eberhard Schnebel, Jesmin Tithi, Dennis Vetter, Magnus Westerlund, Renee Wurth, Julia Amann, Vegard Antun, Valentina Beretta, Frédérick Bruneault, Erik Campano, Boris Düdder, Alessio Gallucci, Emmanuel Goffi, Christoffer Haase, Thilo Hagendorff, Pedro Kringen, Florian Möslein, Davi Ottenheimer, Matiss Ozols, Laura Palazzani, Martin Petrin, Karin Tafur, Jim Tørresen, Holger Volland, and Georgios Kararigas,
On Assessing Trustworthy AI in Healthcare: Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls, 3
Frontiers in Human Dynamics
673104
(2021).
Available at: https://insight.dickinsonlaw.psu.edu/fac-works/309