Universitätsklinikum Aachen

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.

2021 · 795 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 · 315 Zit.

Current applications and challenges in large language models for patient care: a systematic review

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

2025 · 145 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 · 115 Zit.

Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis

Fiona R. Kolbinger, Gregory Patrick Veldhuizen, Jiefu Zhu et al.

2024 · 106 Zit.

Adversarial attacks and adversarial robustness in computational pathology

Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen et al.

2022 · 103 Zit.

Navigating the European Union Artificial Intelligence Act for Healthcare

Felix Busch, Jakob Nikolas Kather, Christian Johner et al.

2024 · 82 Zit.

Privacy-preserving large language models for structured medical information retrieval

Isabella C. Wiest, Dyke Ferber, Jiefu Zhu et al.

2024 · 80 Zit.

Machine learning in neurosurgery: a global survey

Victor E. Staartjes, Vittorio Stumpo, Julius M. Kernbach et al.

2020 · 79 Zit.

Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions

Tianyu Han, Lisa C. Adams, Keno K. Bressem et al.

2024 · 71 Zit.

Large language models for structured reporting in radiology: past, present, and future

Felix Busch, Lena Hoffmann, Daniel Santos et al.

2024 · 69 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 · 64 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 · 60 Zit.

Large language models and multimodal foundation models for precision oncology

Daniel Truhn, Jan‐Niklas Eckardt, Dyke Ferber et al.

2024 · 51 Zit.

Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties

Felix Busch, Lena Hoffmann, Daniel Truhn et al.

2024 · 50 Zit.