Jonas Bozenhard
ORCID:
0000-0003-3346-0305
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About
Contact & Profiles
A5016711925
Research Areas
- COVID-19 diagnosis using AI
- Artificial Intelligence in Healthcare and Education
- Radiology practices and education
University of Oxford
2022
Himanshi Allahabadi
Julia Amann
Isabelle Balot
Andrea Beretta
Charles E. Binkley
and 52
more
Jonas Bozenhard
Frédérick Bruneault
James Brusseau
Sema Candemir
L.A. Cappellini
Subrata Chakraborty
Nicoleta Cherciu
Christina Cociancig
Megan Coffee
Irene Ek
Leonardo Espinosa-Leal
Davide Farina
Geneviève Fieux-Castagnet
Thomas Frauenfelder
Alessio Gallucci
Guya Giuliani
Adam Gołda
Irmhild van Halem
Elisabeth Hildt
Sune Holm
Georgios Kararigas
Sebastien A. Krier
Ulrich Kühne
Francesca Lizzi
Vince I. Madai
Aniek F. Markus
Serg Masis
Emilie Wiinblad Mathez
Francesco Mureddu
Emanuele Neri
Walter Osika
Matiss Ozols
Cecilia Panigutti
Brendan Parent
Francesca Pratesi
Pedro A. Moreno-Sánchez
Giovanni Sartor
Mattia Savardi
Alberto Signoroni
Hanna-Maria Sormunen
Andy Spezzatti
Adarsh Srivastava
Annette F. Stephansen
Lau Bee Theng
Jesmin Jahan Tithi
Jarno Tuominen
Steven Umbrello
Filippo Vaccher
Dennis Vetter
Magnus Westerlund
Renee Wurth
Roberto V. Zicari
This article's main contributions are twofold: 1) to demonstrate how apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice domain of healthcare and 2) investigate research question what does "trustworthy AI" mean at time COVID-19 pandemic. To this end, we present results a post-hoc self-assessment evaluate trustworthiness an system predicting multiregional score conveying degree lung compromise patients, developed verified by...
10.1109/tts.2022.3195114
article
EN
cc-by-nc-nd
IEEE Transactions on Technology and Society
2022-07-29
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