Joint Research Centre
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Bridging the Gap Between AI and Explainability in the GDPR: Towards Trustworthiness-by-Design in Automated Decision-Making
Ronan Hamon, H. Junklewitz, Ignacio Sanchez et al.
2022 · 139 Zit.
The role of explainable AI in the context of the AI Act
Cecilia Panigutti, Ronan Hamon, Isabelle Hupont et al.
2023 · 110 Zit.
Co-design of Human-centered, Explainable AI for Clinical Decision Support
Cecilia Panigutti, Andrea Beretta, Daniele Fadda et al.
2023 · 79 Zit.
Impossible Explanations?
Ronan Hamon, H. Junklewitz, Gianclaudio Malgieri et al.
2021 · 39 Zit.
Explainability can foster trust in artificial intelligence in geoscience
Jesper Dramsch, Monique M. Kuglitsch, Miguel‐Ángel Fernández‐Torres et al.
2025 · 25 Zit.
Artificial intelligence for imaging-based COVID-19 detection: Systematic review comparing added value of AI versus human readers
Christine Kriza, Valeria Amenta, Alexandre Zenié et al.
2021 · 24 Zit.
AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act
Delaram Golpayegani, Isabelle Hupont, Cecilia Panigutti et al.
2024 · 12 Zit.
Documenting high-risk AI: an European regulatory perspective
Isabelle Hupont, Marina Micheli, Blagoj Delipetrev et al.
2022 · 3 Zit.
Documenting high-risk AI: an European regulatory perspective
Isabelle Hupont, Marina Micheli, Blagoj Delipetrev et al.
2022 · 2 Zit.
The computational model lifecycle: Opportunities and challenges for computational medicine in the healthcare ecosystem
Sara Bridio, Pierre Deceuninck, Maurice Whelan et al.
2025 · 1 Zit.
Exploring the Challenges for Artificial Intelligence Adoption and Implementation in EU Public Administrations. Results from a Case Study Analysis
Luca Tangi, A. Paula Rodriguez Müller, Colin van Noordt
2025 · 1 Zit.
The Proof Is in the Eating: Lessons Learnt from One Year of Generative AI Adoption in a Science-for-Policy Organisation
Bertrand De Longueville, Ignacio Sánchez, Snezha Kazakova et al.
2025 · 0 Zit.
Application of large language models: zero-shot learning
Anitha S. Pillai, Hristo Tanev, Roberto Tedesco
2026 · 0 Zit.
The EU one-stop-shop collection of publicly available information on COVID-19 in vitro diagnostic medical devices [version 1; peer review: 2 approved]
Mauro Petrillo, Maddalena Querci, О. Yu. Tkachenko et al.
2020 · 0 Zit.