Karlsruhe Institute of Technology
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Surgical data science for next-generation interventions
Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al.
2017 · 505 Zit.
Welcome to the Era of ChatGPT et al.
Timm Teubner, Christoph M. Flath, Christof Weinhardt et al.
2023 · 320 Zit.
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.
2022 · 311 Zit.
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Max Schemmer, Patrick Hemmer, Maximilian Nitsche et al.
2022 · 74 Zit.
Expl(AI)n It to Me – Explainable AI and Information Systems Research
Kevin Bauer, Oliver Hinz, Wil M. P. van der Aalst et al.
2021 · 60 Zit.
HILL: A Hallucination Identifier for Large Language Models
Florian Leiser, Sven Eckhardt, Valentin Leuthe et al.
2024 · 46 Zit.
From ChatGPT to FactGPT: A Participatory Design Study to Mitigate the Effects of Large Language Model Hallucinations on Users
Florian Leiser, Sven Eckhardt, Merlin Knaeble et al.
2023 · 35 Zit.
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Patrick Hemmer, Sebastian Schellhammer, Michael Vössing et al.
2022 · 24 Zit.
Medical informed machine learning: A scoping review and future research directions
Florian Leiser, Sascha Rank, Manuel Schmidt-Kraepelin et al.
2023 · 19 Zit.
The trustification of AI. Disclosing the bridging pillars that tie trust and AI together
Jascha Bareis
2024 · 19 Zit.
Paradigm shift: cognitive surgery
Hannes Kenngott, Martin Apitz, Martin Wagner et al.
2017 · 18 Zit.
What Your Radiologist Might be Missing: Using Machine Learning to Identify Mislabeled Instances of X-ray Images
Tim Rädsch, Sven Eckhardt, Florian Leiser et al.
2021 · 16 Zit.
Trustworthy machine learning for health care
Konstantin D. Pandl, Fabian Feiland, Scott Thiebes et al.
2021 · 16 Zit.
A context-specific analysis of ethical principles relevant for AI-assisted decision-making in health care
Larissa Schlicht, Miriam Räker
2023 · 13 Zit.
What do algorithms explain? The issue of the goals and capabilities of Explainable Artificial Intelligence (XAI)
Moritz Renftle, Holger Trittenbach, Michael Poznic et al.
2024 · 12 Zit.