Arcada University of Applied Sciences
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.
2022 · 191 Zit.
Z-Inspection<sup>®</sup>: A Process to Assess Trustworthy AI
Roberto V. Zicari, John Brodersen, James Brusseau et al.
2021 · 111 Zit.
Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier
Roberto V. Zicari, Sheraz Ahmed, Julia Amann et al.
2021 · 64 Zit.
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
Roberto V. Zicari, James Brusseau, Stig Nikolaj Fasmer Blomberg et al.
2021 · 51 Zit.
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients
Himanshi Allahabadi, Julia Amann, Isabelle Balot et al.
2022 · 35 Zit.
Lessons Learned from Assessing Trustworthy AI in Practice
Dennis Vetter, Julia Amann, Frédérick Bruneault et al.
2023 · 24 Zit.