Universitätsklinikum Aachen
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 · 813 Zit.
An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
Sophie Isabelle Lambert, Murielle Madi, Saša Sopka et al.
2023 · 330 Zit.
Current applications and challenges in large language models for patient care: a systematic review
Felix Busch, Lena Hoffmann, Christopher Rueger et al.
2025 · 169 Zit.
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis
Fiona R. Kolbinger, Gregory Patrick Veldhuizen, Jiefu Zhu et al.
2024 · 118 Zit.
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study
Jesper Kers, Roman D. Bülow, Barbara M. Klinkhammer et al.
2021 · 117 Zit.
Adversarial attacks and adversarial robustness in computational pathology
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen et al.
2022 · 106 Zit.
Large language models streamline automated machine learning for clinical studies
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia et al.
2024 · 96 Zit.
Navigating the European Union Artificial Intelligence Act for Healthcare
Felix Busch, Jakob Nikolas Kather, Christian Johner et al.
2024 · 89 Zit.
Large language models for structured reporting in radiology: past, present, and future
Felix Busch, Lena Hoffmann, Daniel Santos et al.
2024 · 85 Zit.
Privacy-preserving large language models for structured medical information retrieval
Isabella C. Wiest, Dyke Ferber, Jiefu Zhu et al.
2024 · 82 Zit.
Machine learning in neurosurgery: a global survey
Victor E. Staartjes, Vittorio Stumpo, Julius M. Kernbach et al.
2020 · 79 Zit.
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha et al.
2023 · 78 Zit.
Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions
Tianyu Han, Lisa C. Adams, Keno K. Bressem et al.
2024 · 75 Zit.
Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?
Mark Bukowski, Róbert Farkas, Oya Beyan et al.
2020 · 65 Zit.
International pharmacy students' perceptions towards artificial intelligence in medicine—A multinational, multicentre cross‐sectional study
Felix Busch, Lena Hoffmann, Daniel Truhn et al.
2023 · 61 Zit.