Philipps University of Marburg
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 821 Zit.
Z-Inspection<sup>®</sup>: A Process to Assess Trustworthy AI
Roberto V. Zicari, John Brodersen, James Brusseau et al.
2021 · 117 Zit.
Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients
Jörn Lötsch, Dario Kringel, Alfred Ultsch
2021 · 104 Zit.
What to expect from opening up ‘black boxes’? Comparing perceptions of justice between human and automated agents
Nadine Schlicker, Markus Langer, Sonja Kristine Ötting et al.
2021 · 103 Zit.
Federated Random Forests can improve local performance of predictive models for various healthcare applications
Anne-Christin Hauschild, Marta Lemanczyk, Julian Matschinske et al.
2022 · 94 Zit.
New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
Bouchra Derraz, Gabrièle Bréda, C. Kaempf et al.
2024 · 77 Zit.
Challenging ChatGPT 3.5 in Senology—An Assessment of Concordance with Breast Cancer Tumor Board Decision Making
Sebastian Griewing, Niklas Gremke, Uwe Wagner et al.
2023 · 67 Zit.
Feasibility of GPT-3 and GPT-4 for in-Depth Patient Education Prior to Interventional Radiological Procedures: A Comparative Analysis
Michael Scheschenja, Simon Viniol, Moritz B. Bastian et al.
2023 · 58 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.
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks
Jacqueline Michelle Metsch, Anna Saranti, Alessa Angerschmid et al.
2024 · 45 Zit.
Safety of Triage Self-assessment Using a Symptom Assessment App for Walk-in Patients in the Emergency Care Setting: Observational Prospective Cross-sectional Study
Fabienne Cotte, Tobias Mueller, Stephen Gilbert et al.
2022 · 44 Zit.
ChatGPT's contributions to the evolution of neurosurgical practice and education: a systematic review of benefits, concerns and limitations
Hakija Bečulić, Emir Begagić, Rasim Skomorac et al.
2023 · 34 Zit.
The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach
Julian Matschinske, Julian Späth, Mohammad Bakhtiari et al.
2023 · 31 Zit.
The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis
André Pfob, Chris Sidey‐Gibbons, R. Graham Barr et al.
2022 · 29 Zit.
Evolution of publicly available large language models for complex decision-making in breast cancer care
Sebastian Griewing, Johannes Knitza, Jelena Boekhoff et al.
2024 · 26 Zit.