On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
Roberto V. Zicari(Seoul National University), Georgios Kararigas(University of Iceland), Boris Düdder(University of Copenhagen), Eleanore Hickman(University of Cambridge), Renee Wurth(Harvard University), Valentina Beretta(University of Pavia), Florian Möslein(Philipps University of Marburg), Frédérick Bruneault(Université du Québec à Montréal), Laura Palazzani(Libera Università Maria SS. Assunta), Walter Osika(Karolinska Institutet), Elisabeth Hildt(Illinois Institute of Technology), Sune Holm(University of Copenhagen), Emmanuel Goffi, Eberhard Schnebel(Goethe University Frankfurt), Pedro Kringen(Goethe University Frankfurt), Karin Tafur, Davi Ottenheimer, Martin Petrin(Western University), Jesmin Jahan Tithi(Intel (United States)), Julia Amann(ETH Zurich), Vince I. Madai(Berlin Institute of Health at Charité - Universitätsmedizin Berlin), Marianna B. Ganapini(Union College), Dennis Vetter(Goethe University Frankfurt), Matiss Ozols(Manchester Academic Health Science Centre), Thilo Hagendorff(University of Tübingen), Vegard Antun(University of Oslo), Christoffer Bjerre Haase(University of Copenhagen), Holger Volland, Jim Tørresen(University of Oslo), Erik Campano(Umeå University), Ulrich Kühne, Helle Collatz Christensen(University of Copenhagen), Stig Nikolaj Fasmer Blomberg(University of Copenhagen), Alessio Gallucci(Eindhoven University of Technology), Andy Spezzatti(University of California, Berkeley), James Brusseau(Pace University), Thomas Krendl Gilbert(Cornell University), Sara Gerke(Harvard University), Magnus Westerlund(Arcada University of Applied Sciences), Megan Coffee
Cited by 51
Related Papers
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
|BMC Medical Informatics and Decision Making|2020|1.8k
Ethical and legal challenges of artificial intelligence-driven healthcare
|Elsevier eBooks|2020|939
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
|Frontiers in Neuroscience|2019|264
Glutamatergic axons from the lateral habenula mainly terminate on GABAergic neurons of the ventral midbrain
|Neuroscience|2010|247
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
|PLOS Digital Health|2022|205